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Grinv

TMDB MCP Server

Get trending titles

get_trending
Read-only

Get what's trending on TMDB for movies, TV, people, or all. Select daily or weekly period to see popular items.

Instructions

Get what's trending on TMDB. media_type selects movies, TV, people, or all; time_window is the trending period (today vs this week). Good for 'what's popular right now'. Each result row carries its own media_type ('movie' | 'tv' | 'person') — check it to route to the right get_* tool, especially when media_type is left at 'all'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo1-based page number for pagination (TMDB returns up to 20 results per page, max 500).
media_typeNoWhich kind of entity to rank. Defaults to 'all'.
time_windowNoTrending period: 'day' or 'week'. Defaults to 'week'.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageYes
resultsYes
total_pagesYes
total_resultsYes
Behavior3/5

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

Annotations already declare readOnlyHint and openWorldHint, so the description does not need to repeat safety. It adds value by explaining that each result row carries its own media_type for routing. However, it does not detail pagination behavior or other side effects, but the schema covers limits.

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 three sentences, front-loaded with the purpose, then parameter roles, then routing guidance. Every sentence adds value with no fluff.

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

Completeness4/5

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

With an output schema present, the description does not need to explain return values. It adequately covers usage context (trending, routing). Could mention pagination limits, but those are in the schema. Complete enough for this straightforward 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 coverage is 100%, so baseline 3. The description paraphrases the enum values for media_type and time_window but adds no new semantic detail beyond the schema. It does not mention defaults explicitly, but the schema does.

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 'Get what's trending on TMDB' with a specific verb and resource. It distinguishes itself from sibling search tools by focusing on trending content, and further explains the parameter roles.

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

Usage Guidelines4/5

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

The description explicitly says 'Good for "what's popular right now"', giving clear usage context. It also instructs on how to route results to other tools based on media_type, but does not explicitly exclude search tools for trending queries.

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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