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

Annotations cover the safety profile (readOnlyHint=true, openWorldHint=false), so the description's job is to add context. It does so by enumerating return fields and emphasizing results are 'real, sourced' with verification and source URL, which tells the agent about data provenance. It omits pagination/limit behavior, which is a minor 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?

Two sentences, front-loaded with purpose, then query guidance, then return shape. The list of five example queries is slightly long but serves a real disambiguating function for query style; no filler sentences.

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, the description appropriately enumerates the return fields, and it addresses the required query parameter with examples. It does not explain the limit/category parameters or sibling selection, but for a three-parameter search tool the coverage is nearly 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 coverage is 67%, so the schema documents the query and category params, and the description adds concrete query examples ('faceless youtube shorts', 'cancel subscriptions with AI') that clarify expected input granularity and style. The limit parameter and category enum values are not elaborated on, so it stops short of full coverage.

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 verb (search) and resource (real, sourced AI agent use cases) with a clear scope ('people actually shipped'). It does not explicitly name or contrast with siblings like latest_use_cases or use_cases_by_tool, so it is clear in isolation but not differentiated from alternatives.

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 gives query-formulation guidance ('Prefer concrete goals people type into Google') with five examples, which implies how to use it. However, it never states when to choose this over siblings such as use_cases_by_tool or latest_use_cases, leaving the routing decision to inference.

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