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Verify a task result

verify_task_result
Read-onlyIdempotent

Verify a supplied result against explicit deterministic acceptance criteria.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
acceptance_criteriaYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds the key behavioral constraint that acceptance criteria must be 'explicit deterministic' – implying non-deterministic or subjective criteria are not suitable. However, it does not disclose what the tool returns (e.g., pass/fail, details) or how it handles missing fields, which would be useful for a verification tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no wasted words. It front-loads the action ('Verify') and the key constraint ('explicit deterministic acceptance criteria'). Every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has nested objects, 0% schema description coverage, and no output schema, the description is too thin. An agent needs to know the shape of acceptance_criteria items (e.g., how to express expected values, comparison operators) and what the verification result looks like. The description leaves these critical details to inference, making it incomplete for reliable invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for parameter meaning. The description mentions 'result' and 'acceptance criteria' generically, but it does not explain the structure of acceptance_criteria items (e.g., field, expected value, operator) or what the result object should contain. The schema only requires 'field' on each criterion, leaving the rest of the semantics unexplained. This is a significant gap for a tool with nested objects.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('verify') and resource ('a supplied result') against 'explicit deterministic acceptance criteria', which clearly distinguishes it from sibling tools like assess_agent_card or compare_agent_candidates. It is clear but does not explicitly name a sibling or differentiate beyond the core action.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage: use this tool when you have a result and deterministic acceptance criteria to check. It does not explicitly state when not to use it or mention alternatives, but the context of verification against deterministic criteria is reasonably clear. No exclusions or alternative routing are provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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