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uzaysozen

imdb-mcp-server

by uzaysozen
OverviewSchemaRelated ServersScoreDiscussions
Python
Remote

get_languages

Retrieve all available language data from the IMDb database to support content localization and accessibility requirements.

Instructions

Get all languages. Returns: JSON object containing all languages.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • src/imdb_mcp_server/tools.py:186-196 (handler)
    The handler function for the 'get_languages' tool. It makes a request to the IMDb API's /languages endpoint using make_imdb_request, handles empty response, and returns the JSON data.
    @mcp.tool()
async def get_languages(ctx: Context) -> str:
    """Get all languages.
    Returns:
        JSON object containing all languages.
    """
    languages_url = f"{BASE_URL}/languages"
    languages_data = await make_imdb_request(languages_url, {}, ctx)
    if not languages_data:
        return "Unable to fetch languages data."
    return json.dumps(languages_data, indent=4)
  • src/imdb_mcp_server/tools.py:186-186 (registration)
    The @mcp.tool() decorator registers the get_languages function as an MCP tool within the register_tools function.
    @mcp.tool()
  • src/imdb_mcp_server/main.py:23-23 (registration)
    Calls register_tools(server) to register all tools including get_languages.
    register_tools(server)

Tool Definition Quality

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions the return format ('JSON object'), which adds some behavioral context, but lacks details on permissions, rate limits, data freshness, or error handling. This is a significant gap for a tool with zero annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the core purpose in the first sentence, followed by return info. It's efficient with two short sentences, though the second could be integrated more smoothly (e.g., 'Returns a JSON object...'). Minimal waste, but not perfectly structured.

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?

Given 0 parameters, 100% schema coverage, and an output schema (implied by 'Has output schema: true'), the description is adequate but basic. It states purpose and return format, yet lacks context on data scope (e.g., all languages globally or per region) and behavioral traits, leaving some gaps for a tool with no annotations.

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?

The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description doesn't add param info, but that's appropriate here, earning a baseline high score since the schema fully handles the empty parameter set.

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 states the verb 'Get' and resource 'all languages', which clarifies the basic purpose. However, it doesn't differentiate from sibling tools like 'get_countries' or 'get_genres' beyond the resource name, and the title is null, leaving some ambiguity about scope or format compared to similar tools.

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. With siblings like 'get_countries' and 'get_genres', it's unclear if this is for filtering or general reference, and there are no exclusions or prerequisites mentioned, leaving usage context implied at best.

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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