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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds genuinely useful behavioral context beyond annotations: pricing tier (B2, $0.05/call), inclusion in Understanding and Influence, and a pointer to apis://prices. It does not describe return shape, but no output schema exists to lean on.

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?

Front-loads the analytical purpose before the commercial/pricing details, and each sentence carries information. The pricing sentences are somewhat dense but relevant to call decisions, so length is mostly justified.

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 read-only cross-catalog synthesis tool with no output schema, the description explains what it computes but not what it returns (shape of the gap report, ranking/ordering). With 100% parameter coverage the main remaining gap is return-value expectations, leaving it adequate but not complete.

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 slug, context, and min_share are already fully documented, including the 0–1 default for min_share and the cross-reference to find_industries. The description adds no parameter detail beyond the schema, so the baseline 3 applies.

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?

Names a specific analysis target (artifact types like MCP, Arazzo, Rules, Skills) and scopes it clearly to a whole industry ('where the vertical is under-served'). The industry-wide scope implicitly distinguishes it from siblings like company_gaps and gap_analysis, but it never names those siblings explicitly.

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 'UNDERSTANDING' category label and industry-wide framing imply when this applies, but there is no explicit when-to-use or when-not-to-use guidance relative to gap_analysis or company_gaps. An agent must infer selection from scope alone.

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