completeness_audit

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

With no annotations, the description must fully disclose behavior, but it only gives a high-level summary. It does not state whether the audit is read-only, whether it modifies anything, what side effects occur, or how results are returned. For an audit tool this leaves important behavioral uncertainty.

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 one compact sentence and mostly front-loaded with the core comparison behavior. The 'Completeness Engine:' prefix is mildly redundant, but it does not significantly hurt clarity or conciseness.

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 tool has no output schema and no annotations, so the description needs to carry more weight. It does not specify what the tool returns, how missing features are reported, what 'final validation' produces, or whether the operation is safe. These are material gaps for an audit tool.

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 description maps 'requestedFeatures' to 'requested requirements,' giving the lone parameter a clear semantic role. However, it does not explain the expected format, granularity, or examples for the array of strings, and schema description coverage is 0%, so the description only partially compensates.

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 states a specific operation: comparing requested requirements against implemented systems, detecting missing features, and running final validation. This distinguishes it from siblings like feature_verify, system_audit, and capability_audit by emphasizing cross-cutting completeness checking rather than single-feature verification or system-level auditing.

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?

There is no explicit guidance on when to use this tool versus its many audit/verify siblings. The phrase 'runs final validation' implies a late-stage use case, but no conditions, exclusions, or alternative tool references are provided.

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