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

Annotations already declare read-only, idempotent, non-destructive behavior, and the description adds meaningful context: deterministic execution, evidence-boundedness, signed results, and a specific 0.004 USDC cost. This goes beyond the annotations, though the exact meaning of 'evidence-bound' and the pricing fragment remain somewhat underspecified.

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

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

The description is short and front-loads the core purpose. However, the semicolon-separated '0.004 USDC' fragment and the staccato tag list read as disconnected metadata rather than integrated prose, which makes the structure choppy.

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

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

With zero parameters and an output schema, the essential invocation details are mostly covered: what is measured and the key guarantees. Still, the description does not explain what actually drives the benchmark, what 'signed' outputs mean, or how it relates to the many neighboring capability and verification tools.

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

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

The tool reports zero parameters and 100% schema description coverage, so there is no parameter documentation burden. The description hints at implicit benchmark cases, but since no explicit parameters exist, this is not a meaningful gap. The baseline for parameterless tools is appropriately credited.

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

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

The description uses a specific verb ('Measure') and names concrete resources ('reproducible success, latency and cost' from 'versioned evidence-bound benchmark cases'). It is not a tautology and gives a clear sense of what the benchmark computes. However, it does not explicitly distinguish itself from siblings like capability_verification or signed_result_comparator.

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

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

No guidance is given for when to use this tool instead of alternatives. The phrase 'from versioned evidence-bound benchmark cases' implies a prerequisite, but it is not stated as a decision rule. There are no exclusions or references to sibling tools, so an agent receives little routing help.

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