list_media_popular

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds genuine behavioral value beyond that: pagination defaults vary by endpoint, low default limit (~10) is applied when omitted, high limits are clamped rather than rejected, and the watchnow parameter's eight distinct value semantics are spelled out. No contradiction with annotations.

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?

The structure is organized — endpoint prefix followed by an Args block — and the pagination detail is valuable. But the nine identical 'Query parameter.' lines are filler that adds no information, and the watchnow block has awkward grammar ('subscriptions_all streaming on') and inconsistent indentation.

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 16-parameter tool with zero schema descriptions, the definition leaves significant gaps: no differentiation from sibling popular/trending list tools, no value formats for filters (e.g., how years or rating ranges are encoded), and nine parameters without any semantic meaning. The output schema covers return values, but input semantics remain incomplete.

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 0%, so the description carries the full burden. It does richly document watchnow (all value options) and limit (clamping behavior), and minimally explains page, extended, and the three ignore_* flags. However, nine parameters (genres, subgenres, years, ratings, start_date, end_date, runtimes, countries, certifications) receive only the tautological label 'Query parameter.' with no format, meaning, or accepted value syntax.

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?

Description states 'Get popular media' with the endpoint GET /media/popular — a clear verb plus resource. It is distinguishable from list_movies_popular and list_shows_popular by the combined media scope implied in the name and endpoint, but it does not explicitly say it returns both movies and shows, nor how it differs from list_media_trending or list_media_anticipated.

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?

No guidance is given about when to use this tool versus its siblings (list_movies_popular, list_shows_popular, list_media_trending, list_media_anticipated). An agent must infer the selection criteria from naming conventions alone, which is risky given how many overlapping list tools exist in the sibling set.

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