Audit a proposed implementation

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, and the description does not contradict these. It adds the audit dimensions, which clarifies what the tool evaluates, but it does not disclose broader behavioral traits such as output format, failure modes, or assumptions beyond the listed criteria.

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 a single dense sentence that front-loads the action and packs the six audit dimensions into a compact list. Every phrase contributes meaningful guidance and nothing is redundant.

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?

The description is sufficient to understand the tool's high-level purpose but omits anything about expected output, return value, or how evidence and proposedChanges should be used. Given the tool's complexity and lack of an output schema, some additional context would help an agent call it effectively.

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 100%, so the schema already documents all parameters thoroughly. The description does not add parameter-specific guidance, which is acceptable at the baseline of 3 because no parameter meaning is left 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 begins with the specific verb 'Challenge' and the resource 'a proposed code change,' then enumerates the exact audit dimensions (scope creep, rewrites, contract assumptions, security, error handling, validation). This makes the tool's purpose unmistakable and differentiates it from a plain 'verify' or 'prove' tool.

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 clearly implies this tool is for critically reviewing proposed implementations, but it does not state when to prefer it over siblings like verify, prove_it, or reality_check, nor does it mention when not to use it. Usage context is present but alternatives are not addressed.

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