Skip to main content
Glama
Grinv

TMDB MCP Server

Search everything

search_multi
Read-only

Search movies, TV shows, and people in a single query. Results include media type to direct you to the correct detail lookup tool.

Instructions

Search movies, TV shows and people in one call. Each result carries a media_type ('movie' | 'tv' | 'person') so you can route to the right get_* tool. Use when the user's query could be any of these; if you already know the type, search_movies/search_tv/search_people are more precise.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo1-based page number for pagination (TMDB returns up to 20 results per page, max 500).
queryYesFree-text query.
languageNoOverride the response language (ISO-639-1, optionally with a region), e.g. 'ru-RU' or 'en-US'. Localizes titles/overviews/genre names. Defaults to the server's TMDB_LANGUAGE.
include_adultNoInclude adult (NSFW) results. Defaults to false.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageYes
resultsYes
total_pagesYes
total_resultsYes
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint. Description adds value by explaining each result carries a media_type for routing, which is not in annotations. No contradictions.

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?

Two sentences, front-loaded with purpose, then usage guidance. No wasted words.

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?

For a simple multi-type search tool with annotations and output schema, description covers purpose, usage, and result structure adequately.

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 coverage is 100% with detailed parameter descriptions. Description does not add extra parameter information beyond the schema.

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?

Description clearly states the tool searches movies, TV shows, and people in one call. It distinguishes from siblings by noting more precise alternatives when the type is known.

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

Usage Guidelines5/5

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

Explicitly says to use when the query could be any type, and not to use when type is known, directing to specialized search tools.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Grinv/tmdb-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server