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

Annotations already cover readOnly/idempotent/non-destructive, and the description adds meaningful selection semantics: candidates are not personalized, do not represent a shared rater group, and no peer average is computed. It also discloses that missing scores are null and streaming offers are excluded, which prevents the agent from misreading the payload.

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-loaded with the core purpose, but the middle sentences are convoluted and partly redundant ('do not represent a shared group of raters' and 'no peer average is calculated' restate the same idea). The 'without audience-score or viewing/rating-affinity selection' phrasing takes effort to parse.

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?

An output schema exists, so restating the return fields is optional; the more valuable content is the disclaimers about what the peers are not, which are present. What is missing is how this differs from recommend_titles and how to supply a resolved title_id, both material for a comparison tool with a nested request object.

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?

The description never mentions title_id or limit; all parameter meaning lives in the nested schema. Reported schema coverage is 0% at the top level, so the description should have compensated by noting the resolved-id requirement and the soft, non-fixed limit — it does neither.

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 verb 'Find' and scope 'one resolved movie or show' are clear, but the object is described as 'optional content references', which is vague jargon for what the schema calls 'reference candidates' (similar titles). The title 'Compare similar movies or shows' is clearer than the description itself, and no sibling tool (recommend_titles, search_titles) is named for contrast.

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?

'when a comparison is useful' is an implied trigger rather than an explicit one, and no alternative is named. The negative framing (candidates are not audience-score or viewing/rating-affinity selected) does implicitly separate it from recommend_for_me, which is real usage guidance, but the agent must infer that routing decision itself.

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