list_importlist_movie

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

Annotations already carry the safety profile (readOnlyHint=true, idempotentHint=true, destructiveHint=false), so the description's job is to add behavioral context beyond that. It adds only the raw GET path and leaves out meaningful behavior: whether setting the include_* flags triggers external lookups, whether results are paginated/limited, or what the response contains. The description is not contradictory, but it adds little over the 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 core purpose is front-loaded in a single concise sentence, which is good. But the 'Args' block is three lines of structural waste that repeat the schema verbatim and add no information. The small amount of space used is not spent efficiently.

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 return-value documentation is not required. However, for a tool with three optional behavior-modifying flags and ambiguity against siblings, the description remains incomplete: it never clarifies param semantics, the meaning of ImportListMovies, or when the flags are appropriate. An agent lacks the information needed to call it correctly and confidently.

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 bears the full burden of explaining the three parameters. It merely restates their names with the vacuous label 'Query parameter' — pure tautology. It never explains what including recommendations, trending, or popular means, their effect, or their interaction. This is the weakest area given the coverage gap.

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 and resource ('Read ImportListMovies') and reveals the GET endpoint, which anchors the call precisely. However, it never explains what an ImportListMovie is, so an agent cannot distinguish it from list_importlist (the import lists themselves) or list_movie (regular movies) among the many list_* siblings. Purpose is clear but differentiation is not.

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 on when to use this tool versus list_importlist, list_importlist_schema, list_movie, or create_importlist_movie. No context about typical workflows (e.g., browsing suggested/imported movies before adding them). An agent has to infer usage entirely from the resource name.

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