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

The annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, destructiveHint=false brackets. The description adds that it is determinant and used for verification rules, and that it is a paid resource (cost consideration). It does not contradict annotations and adds practical context about cost and resource URL.

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 three sentences: the first states core functionality, the second gives exclusions, and the third mentions cost. It is front-loaded with the most important purpose and distinguishes itself from siblings early. It could be slightly more concise by moving cost to a separate annotation, but it earns its place.

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?

Given the tool's complexity (5 parameters, no output schema, no parameter descriptions), the description provides good high-level context (purpose, exclusions, cost) but fails to compensate for the lack of input schema details. It would need parameter-level examples or guidance to be complete for an agent to call it correctly.

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 schema has no descriptions for any parameters (coverage 0%). The description only mentions 'expected and observed values' and 'verification rules' but does not explain the meaning of ignore_paths, required_paths, numeric_tolerance, or the expected format of expected/observed. With zero schema coverage and no parameter details, the agent is left guessing how to structure the inputs.

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 clearly states the tool's purpose: it compares expected and observed values and reports differences under caller-supplied rules. It explicitly mentions the reliability quality domain and provides an exclusion list of domains it should not be used for, which differentiates it from other verification tools in related domains.

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?

The description explicitly states when to use this tool (for reliability quality verification) and when not to use it (not for legal, identity, sanctions, fraud, contractual, or regulatory adjudication). It also mentions the paid cost, which helps the agent weigh cost-benefit decisions. This is strong guidance beyond schema or annotations.

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