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lonzzi

TMDB MCP Server

by lonzzi

search_tv_shows

Find TV shows by title and retrieve metadata including overview, first air date, and rating.

Instructions

Search for TV shows on TMDB by title to get metadata like overview, first air date, and rating

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesThe TV show title to search for
languageNoLanguage code (e.g. 'en-US', 'zh-CN')
Behavior3/5

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

With no annotations, the description carries the full burden. It mentions output includes metadata like overview, first air date, and rating, but lacks details on pagination, result limits, or case sensitivity. Behavior is partially transparent.

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 of 18 words. It is front-loaded with key information and contains no unnecessary text.

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

Completeness3/5

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

No output schema exists, so the description must explain return values. It lists three metadata fields but does not specify the structure (array of objects) or additional fields like poster_path, vote_average. Incomplete for a search tool.

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%. The description restates that query is the title, adding little beyond the schema. Baseline 3 is appropriate as schema already documents both parameters.

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 searches for TV shows on TMDB by title, returning metadata like overview, first air date, and rating. It differentiates from siblings such as search_movies and search_person.

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 searching TV shows by title but does not explicitly state when to use this tool versus alternatives like get_tv_show_details for full details or search_movies for movies. No exclusions or when-not-to-use guidance.

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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