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

No annotations are provided, so the description carries the burden. It discloses that the tool returns combined coverage, individual additions, and gaps, which is useful. However, it does not mention any side effects (likely none), authentication needs, or potential performance issues. For a read-like analysis tool, this is adequate but not rich. It gives a basic understanding of what the operation does.

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 well-structured: a brief introductory line, a clear explanation of the output, and a contextual note about marginal value. The 'Responses' section adds nothing informative beyond the obvious 200 success, which is slightly wasteful but minimal. Overall, every sentence earns its place except the 'Responses' block, which is redundant, but the description is concise and readable.

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 and no annotations, the description must clarify return format and usage. It explains the output concept (coverage, additions, gaps) but not the exact structure or data types. The tool appears simple (two string params), but the meaning of 'holds' and 'target' could be more explicit. Given the complexity is moderate and the description covers the main idea, a 3 is appropriate.

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 schema has two parameters, 'holds' and 'target', with 0% schema description coverage and no descriptions in the schema. The description refers to 'frameworks an organisation already holds and one it needs', which maps directly to 'holds' and 'target', but this is implicit. It does not specify the format (e.g., comma-separated list? JSON?) or expected values, and there is no enum. With low schema coverage, the description must compensate more, but it gives only vague hints, so it scores low.

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 computes combined coverage of multiple certifications, highlighting what is covered, what each adds, and gaps. It uses a specific verb ('give') and resource ('frameworks'), though 'combined coverage' is already in the name. It distinguishes from siblings like coverage_crosswalk by emphasizing the combined effect of multiple frameworks, which is unique.

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 implies when to use it: when an organization holds multiple certifications and needs to understand combined coverage, especially to identify diminishing returns. It does not explicitly say 'use this tool when...' or mention alternatives, but the context is clear. It doesn't provide exclusions or contrast with all siblings, so it earns a 3.

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