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

Annotations already cover read-only, open-world, idempotent, and non-destructive behavior. The description adds meaningful behavioral context beyond those: the comparison is deterministic, results are reported as material differences, and the verification rules are caller-supplied. It also discloses pricing. No contradiction with annotations was found.

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 efficiently composed of three front-loaded sentences: core behavior first, then exclusions, then cost. There is no unnecessary repetition of schema or annotation content, and every sentence 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?

With no output schema, the description should clarify what 'reports material differences' returns, but it does not describe the result shape or error behavior. It also omits details about how ignore_paths, required_paths, and numeric_tolerance interact. Annotations reduce the safety-context burden, but invocation details remain incomplete.

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%, so the description must compensate. It does clarify that expected and observed are the values being compared and that the optional controls constitute caller-supplied verification rules. However, it does not explain path syntax, how numeric_tolerance is applied, or what forms expected and observed may take, leaving noticeable gaps.

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 first sentence gives a specific, action-oriented definition: deterministically compare caller-supplied expected and observed values and report material differences under caller-supplied verification rules. The outcome-assurance scope and explicit exclusions for legal, identity, sanctions, fraud, contractual, and regulatory adjudication help distinguish this tool from the many sibling verification 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?

The description explicitly scopes usage to outcome assurance and lists clear when-not-to-use categories. It also discloses that this is a paid resource with a specific per-call price. However, it does not name an alternative tool to use for the excluded adjudication domains, so it falls just short of the strongest possible guidance.

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