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

Annotations already declare readOnlyHint=false, openWorldHint=true, idempotentHint=false, destructiveHint=false. The description adds non-trivial behavior beyond them: quota consumption of 10/day, a long single AI call, and the possibility of returning cached output. Missing details on auth/permissions keep it at 4.

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 tight sentences, front-loaded with the action and cost, then the return shape. Every clause carries information; nothing is padding.

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 compensates by naming the return shape ({ analysis, cached }) and its relationship to get_creator_analysis. The only gap is the undocumented brandId parameter, which leaves a small but real hole for a 2-param tool.

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 0% and the description only gives meaning to creatorId ('saved creator by creatorId'); the optional brandId is left entirely undocumented in both schema and description. Baseline is 3 when a required param is clarified but another is not.

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+resource ('Run ... AI deep analysis of a saved creator by creatorId') and clarifies the caching branch. It implicitly separates itself from the read-only sibling get_creator_analysis via 'Run (or return the cached)', but does not name that sibling explicitly, so it stops short of a 5.

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?

Provides a real cost/usage signal up front ('Consumes the daily quota (10/day, one long AI call)'), which tells the agent to use it sparingly. It does not explicitly say when to prefer get_creator_analysis over re-running, so guidance is clear but not fully routing.

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