cross_source_mismatches

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

With no annotations, the description carries the full burden of behavioral transparency. It does not disclose whether the tool is read-only, requires cached data, has side effects, or what output format to expect. Given the complexity (9 parameters), this lack of behavioral detail is a significant gap.

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, front-loaded sentence of 13 words that efficiently states the tool's core function without any fluff. Every word is necessary, achieving high 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?

Given the tool has 9 optional parameters, no output schema, and no annotations, the description is too brief to provide sufficient context for an agent. It does not explain what a 'mismatch' entails, how results are structured, or any examples, leaving significant gaps in understanding.

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 input schema has 100% description coverage; each parameter already has a clear description. The tool's description adds no additional meaning beyond the schema, so the baseline score of 3 applies as per the guidelines.

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 returns 'concrete mismatches between cached report narrative and current health or release evidence'. It uses a specific verb ('Return') and resource ('mismatches'), and the context of siblings (e.g., 'report_narrative_signals', 'release_visibility') implies differentiation, making the purpose highly clear.

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 no explicit guidance on when to use this tool versus its many siblings, nor any prerequisites or when-not-to-use advice. The usage context is only implied by the tool's name and description, which is insufficient for an agent to choose appropriately among similar tools.

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