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

Annotations already cover safety (readOnly, idempotent, non-destructive, closed-world), so the description adds value by disclosing the ranking method and the returned fields (traffic, pricing, links). It omits how many results come back by default and that the list is capped, which matters since no output schema exists.

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?

Two sentences, front-loaded with the core purpose and ranking basis, followed by the category list. The long enumeration is verbose but genuinely functional for choosing a valid value.

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 two-parameter lookup with no output schema, the description supplies the ranking logic and locality of returned data. The main gap is result-count/pagination behavior for the limit parameter.

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 coverage is only 50%, and the description merely repeats the category enumeration already present in the schema rather than adding constrained meaning. The limit parameter's behavior (default 10, max 25) is left entirely to the schema.

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?

States a specific resource (AI tools in a category) and an explicit ranking basis (real web traffic) plus returned fields (pricing, links). It does not explicitly distinguish itself from close siblings like search_ai_tools or compare_ai_tools, which the agent must infer.

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?

Usage is only implied by 'in a category' — the agent can infer this is a browse-by-category entry point, but there is no statement of when to prefer it over search_ai_tools, compare_ai_tools, or list_ai_tool_categories.

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