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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false, covering the safety profile. The description adds deterministic behavior, 'material differences' reporting, and the paid cost ($0.002 USD per call). It does not describe the return format or error handling, which would be useful, but it adds some behavioral context beyond 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 concise and well-structured: it leads with the core function, then states intended use, exclusions, and cost. Each sentence adds distinct value with no redundancy or fluff. It is appropriately sized for the tool's complexity.

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?

For a verification tool with five parameters and no output schema, the description covers purpose, usage, exclusions, and cost, but lacks critical details on parameter semantics (e.g., how ignore_paths and required_paths work, what numeric_tolerance does) and what the 'material differences' report looks like. The annotations cover safety, but the description is not complete enough for an agent to confidently construct a correct call, especially for the optional parameters.

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?

Schema description coverage is 0% — the description does not explain any of the five parameters. It only hints at 'expected and observed' values, which map to the two required parameters, but it completely ignores ignore_paths, required_paths, and numeric_tolerance. With no schema descriptions and no parameter explanations in the description, the agent cannot understand how to use these optional parameters, so the description fails to compensate for the schema gap.

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 function: deterministically compares expected and observed values and reports material differences under caller-supplied rules. It also gives the intended domain (execution safety/vendor lock-in) and explicitly excludes legal, identity, sanctions, fraud, contractual, or regulatory uses. However, it does not explicitly differentiate from sibling verification tools like execution_safety_verification_0be6d99b, which have nearly identical names, so it misses a clear sibling distinction.

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 provides explicit usage context: intended for execution safety/vendor lock-in, and explicitly states what it should not be used for (legal, identity, sanctions, fraud, contractual, regulatory). This gives clear when-to-use and when-not-to-use guidance, though it does not name specific alternative tools for those excluded cases.

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