Skip to main content
Glama
ryanxili

TMDB MCP Server

by ryanxili

Popular Movies

movie_popular

Retrieve popular movies from The Movie Database (TMDB) by specifying page numbers and region codes to filter results.

Instructions

Get popular movies

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number (1-1000)
regionNoRegion code (ISO 3166-1)
Behavior1/5

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. 'Get popular movies' implies a read-only operation but doesn't cover critical aspects like rate limits, authentication needs, pagination behavior, or what 'popular' entails (e.g., algorithm, time frame). This is inadequate for a tool with no annotation support.

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 with just three words, front-loaded with the core action. There's no wasted text, making it easy to parse, though this conciseness comes at the cost of detail.

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 no annotations, no output schema, and a simple input schema, the description is incomplete. It doesn't explain what 'popular' means, how results are returned, or usage context relative to siblings. For a tool in a crowded namespace, more guidance is needed to ensure correct agent selection.

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 fully documents the parameters (page and region). The description adds no additional meaning beyond what's in the schema, such as explaining how 'region' affects results or default values. Baseline 3 is appropriate when the schema does all the work.

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

Purpose3/5

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

The description 'Get popular movies' clearly states the action (get) and resource (popular movies), but it's vague about what 'popular' means and doesn't differentiate from siblings like 'movie_top_rated' or 'movie_now_playing' which might overlap in purpose. It's functional but lacks specificity.

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?

No guidance is provided on when to use this tool versus alternatives like 'movie_top_rated', 'movie_now_playing', or 'trending_movie_day'. The description doesn't mention context, prerequisites, or exclusions, leaving the agent to guess based on tool names alone.

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/ryanxili/tmdb-mcp'

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