Agent evaluation and assurance

Tool-use evaluation

Verify that tool actions match the request and the agent's authority

An agent gains a write-capable connector or its tool schema changes. The decision is how to verify that tool actions match the request and the agent's authority. The work begins with your actual workflow and looks for the evidence that separates intended behaviour from a consequential exception. It is particularly relevant to application engineers and tool owners. A useful outcome is an explicit account of what was examined, what remains uncertain, and which decision the evidence can support.

The release evidence relationship

  1. Starting evidenceTool schemas

    Establish the basis for tool selection.

  2. Decision boundaryArgument binding

    Tie the resource identifier to the approved target.

  3. Decision artefactTool-use matrix

    Retain the scoped finding and its unresolved dependencies.

Proposed working model. The customer retains the release decision.

Decision

Frame the decision around tool selection

Questions and the evidence they need

Criterion / evidenceTool selection
Inspect tool schemas for the relevant constraint or observation.
Criterion / evidenceArgument binding
Inspect permission rules for the relevant constraint or observation.
Criterion / evidenceObserved effect
Inspect request examples for the relevant constraint or observation.
Read each criterion against the available evidence before deciding that additional work is needed.

The decision is how to verify that tool actions match the request and the agent’s authority. This is relevant to application engineers and tool owners when an agent gains a write-capable connector or its tool schema changes. Name the affected workflow, the consequence of a wrong decision, and the owner who can act on the result. The initial discussion should establish which evidence is already available and which uncertainty is material enough to investigate.

The specific failure hypothesis is that the agent selects a plausible tool but supplies the wrong record identifier or repeats a non-idempotent action. It remains a hypothesis until examined in the deployment. Existing internal tests or operating records may already resolve it; identify the uncovered question before commissioning additional work.

Mechanism

Correct tool syntax can still target the wrong record

Relationships within release evidence

Source or conditionTool selection
Match the operation to the requested job.
Crossing or choiceArgument binding
Tie the resource identifier to the approved target.
Consequence or decisionObserved effect
Check persistence and duplicate execution.
Keep case coverage linked to the release question. Each relationship needs evidence in the actual scope.

What this specialty examines

Tool evaluation separates selection from execution. Check whether the chosen operation fits the task, whether arguments identify the correct resource, and whether the caller is permitted to act. Then verify the tool’s response and actual side effect rather than trusting an optimistic success message.

The review should check tool choice, arguments, sequencing, authorisation, response handling and observed side effects. Identify the normal route, relevant exceptions and the authoritative record of the outcome. Inspect the relevant business-system record, enforcement event or process evidence alongside any reported status. Keep incomplete cases visible, with an explanation of what their absence prevents the owner from concluding.

The tradeoff to make explicit

For this decision, narrow tools simplify evaluation while broad tools may reduce integration effort. Compare the available design or operating choices against the same intended outcome. If one option removes a required control or changes the task boundary, describe that difference before treating its apparent simplicity, speed or lower effort as an improvement. The decision should expose the tradeoff instead of burying it in an aggregate score.

Preparation

Connect the working inputs to the boundary being examined

Evidence packet for tool selection

Illustrative working format

BasisTool schemas
Match this description to the deployed or proposed boundary being examined.
ContextPermission rules
Specify the subject, operation, resource, and context at the enforcing boundary.
ObservationRequest examples
Keep expected behaviour and the limits of the constructed example explicit.
DependencyTool-side execution logs
Retain the observed conditions and distinguish gaps from contrary evidence.
Illustrative preparation record. Availability, revision, and handling need confirmation.

Start with tool schemas, permission rules, request examples and tool-side execution logs. Identify the owner, revision and operating context of each source. Sanitised examples may support initial design, but differences from actual conditions should remain explicit. Where direct access is unsuitable, a customer-controlled evidence or execution route may be considered, with agreed handling and retention.

The scope also needs the release owner, agreed expectations for a representative task case, and the authority to inspect the relevant boundary. Specify what evidence would distinguish the failure in which the agent selects a plausible tool but supplies the wrong record identifier or repeats a non-idempotent action from acceptable behaviour. If stakeholders disagree about intended behaviour, resolve the interpretation before classifying the observed difference as a defect.

How the work proceeds

Carry tool selection through to an accountable finding

From the scoped material to a decision record

  1. Establish conditionsTool schemas

    Separate hard constraints from graded preferences.

  2. Examine the relationshipArgument binding

    Apply the scoped check to observed effect.

  3. Retain the findingTool-use matrix

    Record the evidence, open dependencies, and the owner’s next decision.

Proposed sequence; resolve interpretation or access gaps before relying on the next step.

Prepare the evaluation cases

Work with application engineers and tool owners to assemble tool schemas, permission rules, request examples and tool-side execution logs. Select a normal task, a consequential exception and a case with insufficient information. Identify the relevant requirement and expected result for each, then mark which outcomes need human adjudication. The preparation output is a case packet that separates blocking behaviour from graded quality preferences before any comparison is run.

Run and review the comparisons

Include malformed arguments, ambiguous identifiers, timeouts and duplicate calls. A valid JSON object may still express the wrong business action. Test assumptions in wrappers and adapters, especially where defaults or previously viewed records can silently supply missing values.

Choose the release or evaluation change

Use the reviewed cases to produce a tool-use matrix with action-level findings and proposed negative cases. Distinguish a product defect from a missing test, an ambiguous requirement or an unreliable measuring method. For each, name the proposed correction and the case that would check it. The release owner can then decide whether to change the implementation, improve coverage or restrict the intended use while a specific gap remains.

Indicative artefact

Make the tool-use matrix usable by its owner

Tool-use matrix

Illustrative working format

Annotated fieldTool-use matrix
Identify the assessed workflow, revision, and decision boundary.
Annotated fieldAction-level findings
Name the missing evidence, responsible owner, and condition for revisiting the decision.
Annotated fieldNegative cases
Name the unresolved condition, next action, and accountable owner.
Illustrative artefact structure, not a completed engagement or an observed result.

A useful decision artefact is a tool-use matrix with action-level findings and proposed negative cases. Supporting material may include selected cases, configuration or process records, evidence references, a disagreement log and prioritised actions. Retain the case selection rationale and material disagreements alongside the result; otherwise the result may be mistaken for complete coverage.

Illustrative scenario

Examine observed effect through a constructed exception

A constructed case and its decision paths

Illustrative scenario

  1. SituationTool selection

    An update reaches the most recently viewed account instead of the approved one.

  2. Question to examineArgument binding

    Bind the approved synthetic customer identifier to the executed request.

  3. Conditional next actionObserved effect

    Correct target selection before interpreting the fluent response as success.

Fictional example. No executed test, customer engagement, or measured outcome is implied.

Consider a fictional situation: a support agent identifies the right customer but applies an update to the most recently viewed account. The scenario is illustrative, with no client engagement, executed test or measured improvement implied.

For the account update, introduce two synthetic records with similar names. Verify that the identifier used at execution matches the approved target. If the tool accepts the wrong identifier, improving answer fluency would not resolve the underlying action-selection problem.

Scope and next action

Keep the conclusion within selected task cases

Confirm fit before the next commitment

Included boundaryTool selection
This review is limited to selected task cases.
PrerequisiteTool schemas
The relevant owner must confirm access and the intended operating conditions.
Claim limitTool-use matrix
The customer retains the release decision.
Bring the triggering change and existing evidence; resolve the dependency that could alter the decision.

A result applies to the recorded configuration and selected cases. It does not establish universal agent competence or authorise release. Any engagement depends on an agreed scope, qualified team, authorised access and confirmed availability. Bring the affected workflow, its current configuration or process, the triggering change and the evidence already available. The immediate scope question is prompted by the situation in which an agent gains a write-capable connector or its tool schema changes; confirm which missing observation would change the owner’s next action.

Ways to engage

Related engagement scopes

AI Agent Evaluation Evidence Diagnostic

Find the gaps between your release decision and the evidence behind it. Start with one agent workflow and a bounded set of questions.

Read about this offer: AI Agent Evaluation Evidence Diagnostic

AI Agent Evaluation Foundation

Turn scattered tests into a repeatable release discipline. Connect the behaviours that matter to datasets, evaluation criteria and evidence your team can maintain.

Read about this offer: AI Agent Evaluation Foundation

AI Long-Horizon Agent Evaluation

Examine what changes when an agent keeps working. Evaluate accumulated state, recovery and goal adherence across extended tasks.

Read about this offer: AI Long-Horizon Agent Evaluation

Continue exploring

Related insights and resources

Whitepaper16 MIN READ

Engineer the harness, not just the prompt

Define the contracts around an agent's decisions: what state it trusts, which actions can execute, how interrupted work resumes, and what evidence an operator needs to recover safely.

Whitepaper15 MIN READ

What would justify releasing this agent?

Replace a single pass rate with a reviewable chain of requirements, cases, observations and judgements. Distinguish task quality, control failures and uncertainty before increasing an agent's exposure.

Whitepaper5 MIN READ

The evidence behind the go-live decision

A working paper for leaders who need to explain why an agent workflow is ready for its next release. Includes a proposed evidence-pack structure, decision table and review agenda.

A little more clarity

Questions to consider.

Start with the questions that shape a better decision.

Is checking the tool-call JSON enough?

No. Valid JSON can identify the wrong resource, request an unauthorised action or produce an unexpected side effect. Check tool selection, parameters, permission, execution and resulting business state together.

Which records verify tool arguments and side effects?

Start with tool schemas, permission rules, request examples and tool-side execution logs. Record their revision, owner and relationship to the intended workflow. Missing context should be identified before interpreting outcomes; a sanitised fixture is useful only when its relevant differences from the operating case are understood.

How should duplicate or wrong-target calls be tested?

Check tool choice, arguments, sequencing, authorisation, response handling and observed side effects. Keep task correctness, permitted action and final state distinct. Review scoring disagreements against the agreed rubric. Include valid alternatives so the cases do not reward superficial sequence matching or rejection of every difficult request.

What belongs in a tool-use matrix?

The proposed output is a tool-use matrix with action-level findings and proposed negative cases. Include the selected conditions, supporting observations, unresolved differences and next decision. A reviewer should be able to follow each important conclusion back to its evidence and understand the limits without depending on an undocumented explanation from the author.

When is a narrower tool interface preferable?

A narrower interface is useful when broad parameters or operations repeatedly create ambiguity or excessive authority. Check that legitimate tasks remain possible, then test the restricted interface against both allowed and denied cases.

What if existing evidence already answers the question?

Review its scope, provenance and configuration before proposing new work. Existing work from application engineers and tool owners may already be sufficient. In that case, capture the decision, unresolved limitations and the change that would require another review. Additional assessment should address a real gap.

What would make the findings inconclusive?

Missing tool schemas, permission rules, request examples and tool-side execution logs can prevent a reliable interpretation, depending on the case. Record the specific missing observation and its implication. The owner can supply evidence, narrow the claim or defer the dependent decision; an incomplete case should not silently be counted as a pass.

Start with the decision you need to make.

Tell us about the agent workflow you want reviewed, and where you need greater clarity. Scope and availability are confirmed together.

Connected disciplines