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

No annotations are provided, so the description carries the full burden of behavioral disclosure. The 'UNDERSTANDING' tag and the phrase 'commonly missing' weakly suggest a read-only analytical operation, but the description does not explicitly state that it is read-only, what it returns, or how it computes a 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, compact sentence that front-loads the tool's category and core behavior. The 'UNDERSTANDING —' prefix is somewhat meta rather than substantive, but there is no redundancy or bloat.

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?

For a tool with no output schema and no annotations, the description leaves important gaps: it does not explain the return format, how the min_share threshold affects results, how to interpret the output, or what a successful call looks like. An agent can understand the intent but not the full operational behavior.

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 67%: context and min_share have detailed descriptions, while slug has no description but is self-explanatory from the tool name. The tool description adds contextual meaning around the concept of industry gaps but does not add parameter-level details. Overall, the schema does most of the work here.

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 identifies what the tool analyzes: artifact types (MCP, Arazzo, Rules, Skills...) missing across a whole industry. The phrase 'commonly missing' implies a gap/coverage analysis, and 'whole industry' distinguishes it from company-level or provider-level gap tools. It does not explicitly differentiate from the sibling tool 'gap_analysis', but the industry focus is 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?

There is no explicit guidance about when to use this tool versus alternatives like gap_analysis, company_gaps, or find_industries. The description implies industry-wide analysis, but it does not state when an agent should pick this tool over a sibling or what preconditions apply.

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