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ryanxili

TMDB MCP Server

by ryanxili

Multi Search

search_multi

Search for movies, TV shows, and people in The Movie Database (TMDB) using a single query to find relevant media content and cast information.

Instructions

Search for movies, TV shows, and people

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query
pageNoPage number (1-1000)
include_adultNoInclude adult content
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. While 'Search' implies a read operation, the description doesn't mention pagination behavior (implied by the page parameter), rate limits, authentication requirements, or what the response format looks like. This is inadequate for a search tool with no annotation coverage.

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 extremely concise - a single sentence that communicates the core functionality without any wasted words. It's appropriately sized for a straightforward search tool and front-loads the essential information.

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

Completeness2/5

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

Given the lack of annotations and output schema, the description is incomplete. It doesn't explain what the search returns (e.g., combined results or separate sections), how results are ordered, or any limitations. For a multi-resource search tool in a rich API with many sibling tools, this minimal description leaves significant gaps.

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?

Schema description coverage is 100%, so the schema already documents all three parameters. The description doesn't add any meaningful context about parameters beyond what the schema provides, such as search scope limitations or how the 'include_adult' parameter affects results. Baseline 3 is appropriate when the schema does the heavy lifting.

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

Purpose4/5

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

The description clearly states the verb ('Search') and resources ('movies, TV shows, and people'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like search_movie, search_tv, and search_person, which perform similar but more specific searches.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. With multiple sibling search tools (search_movie, search_tv, search_person), there's no indication whether this is a combined search or when one might prefer the more specific tools.

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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