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Grinv

TMDB MCP Server

Get person details

get_person
Read-only

Retrieves a person's biographical details, birth/death dates, department, and TMDB+IMDb links using their TMDB ID.

Instructions

Get full details for one person by TMDB id: biography, birthday/deathday, department, and links (TMDB + IMDb). Does not include filmography — use get_person_credits for that. Get the id from search_people or a credits list.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesTMDB numeric id.
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.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
nameNo
genderYes
imdb_idYes
birthdayYes
deathdayYes
homepageYes
imdb_urlYes
tmdb_urlYes
biographyYes
popularityYes
profile_urlYes
also_known_asYes
place_of_birthYes
known_for_departmentYes
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the description's disclosure is minimal. It adds context about returned fields but does not mention rate limits, authorization needs, or error behavior. The description is adequate given the annotations.

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, each providing essential information without redundancy. It front-loads the purpose and follows with critical exclusions and id source, making it efficient for an agent to parse.

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?

Given the presence of an output schema and clear annotations, the description provides sufficient context. It lists the major return fields and clarifies what is not included. It does not address edge cases or error handling, but these are not critical for typical use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, and the description adds value by explaining the id's origin and the language parameter's purpose (localization). However, it does not elaborate beyond what the schema already provides for each parameter.

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 action (get full details), the resource (one person by TMDB id), and lists specific returned fields. It explicitly distinguishes from the sibling tool get_person_credits by noting what is not included (filmography).

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?

The description provides explicit guidance on when to use this tool (for person details) and when to use the alternative (get_person_credits for filmography). It also tells where to obtain the required id (from search_people or a credits list).

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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