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Get Similar Movies

tmdb.movies.similar
Read-onlyIdempotent

Get movie recommendations based on a TMDB movie ID by analyzing similar genres, themes, and cast. Input a movie ID to receive a list of related films.

Instructions

Get movie recommendations based on a movie ID — similar genres, themes, cast (TMDB)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesTMDB movie ID to get recommendations for
languageNoISO 639-1 language code (e.g. "en-US"). Default: en-US
pageNoPage number (1-500, default 1)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
Behavior4/5

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

Annotations already indicate a read-only, safe, idempotent operation. The description adds value by explaining the recommendation basis (genres, themes, cast), which is not covered by annotations. It discloses the behavioral trait of similarity criteria.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence that front-loads the key information. Every word contributes meaning, with no redundancy or unnecessary detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of an output schema and detailed annotations, the description is complete. It covers the tool's purpose, key input (movie ID), and recommendation basis. No additional information is needed for an agent to use it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has full coverage (100%) with descriptions for all three parameters. The description only adds that the tool is 'based on a movie ID', which is already clear from the schema. No new parameter semantics are provided beyond what the schema already offers.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool retrieves movie recommendations based on a movie ID, specifying it uses similar genres, themes, and cast. It uses a specific verb ('Get') and resource ('Similar Movies'), and is distinct from sibling tools like search, details, etc.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for getting movie recommendations but provides no explicit guidance on when to use this tool versus alternatives (e.g., search, discover, trending). No exclusions or context for when not to use it are given.

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

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