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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false. The description adds value by disclosing that it is a paid resource with a specific cost ($0.002 per call) and emphasizes deterministic behavior. It also mentions 'caller-supplied verification rules' which hints at configurability. No contradiction with annotations.

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 only three sentences and front-loads the core function. It includes cost and exclusions efficiently. However, the phrase 'Intended for reliability quality / cannot select' is awkward and slightly unclear, detracting from overall polish, though it remains concise.

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 five parameters, no output schema, and no parameter descriptions in the schema, this description is insufficient. It does not explain how to use the optional parameters, what the return value looks like, or how this tool differs from the many similarly named verification tools. The cost and exclusion info are useful but do not fill the gaps.

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 0% description coverage, so the description must explain all parameters. It only mentions 'expected' and 'observed' implicitly via 'expected and observed values', but provides no detail on ignore_paths, required_paths, or numeric_tolerance. The phrase 'verification rules' is vague and does not map to specific parameters. This leaves three of five parameters completely undocumented.

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 verb ('compares'), the resource ('caller-supplied expected and observed values'), and the output ('reports material differences'). It also specifies the intended domain ('reliability quality') and explicitly excludes other domains, making its purpose unambiguous and distinct from legal/identity/fraud adjudication tools.

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?

It provides explicit exclusions ('Do not use for legal, identity, sanctions, fraud, contractual, or regulatory adjudication') and states the intended domain ('Intended for reliability quality / cannot select'), giving clear context. However, it does not name specific alternative tools or differentiate among the many reliability_quality_verification_* siblings, so guidance for choosing this exact tool over others is incomplete.

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