Skip to main content
Glama
mattjegan

eBird MCP Server

by mattjegan

get_taxa_locales

Retrieve language codes for species names to access bird taxonomy information in multiple languages from the eBird database.

Instructions

Get available language codes for species names.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The core handler function that implements the get_taxa_locales tool logic: fetches available language codes for species names from the eBird API endpoint "/ref/taxa-locales/ebird" and returns the result as formatted JSON text.
    async () => {
      const result = await makeRequest("/ref/taxa-locales/ebird");
      return { content: [{ type: "text", text: JSON.stringify(result, null, 2) }] };
    }
  • src/index.ts:492-500 (registration)
    Registration of the "get_taxa_locales" tool on the MCP server, including name, description, empty input schema (no parameters), and inline handler.
    server.tool(
      "get_taxa_locales",
      "Get available language codes for species names.",
      {},
      async () => {
        const result = await makeRequest("/ref/taxa-locales/ebird");
        return { content: [{ type: "text", text: JSON.stringify(result, null, 2) }] };
      }
    );
  • Empty Zod schema indicating the tool takes no input parameters.
    {},
Behavior2/5

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. While 'Get' implies a read-only operation, the description doesn't specify any behavioral traits such as rate limits, authentication requirements, or what the output format might be (e.g., list of codes, JSON structure). This leaves significant gaps in understanding how the tool behaves.

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, clear sentence that directly states the tool's purpose without any fluff or redundant information. It's front-loaded and efficiently communicates the essential information, making it highly concise and well-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 the tool's simplicity (0 parameters, no output schema, no annotations), the description is adequate but minimal. It covers the basic purpose but lacks details on behavioral aspects like output format or usage context. For a tool with no structured fields to rely on, the description should ideally provide more completeness, but it meets the minimum viable standard.

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 tool has 0 parameters, and the schema description coverage is 100%, so there are no parameters to document. The description appropriately doesn't mention parameters, which is correct for this case. A baseline of 4 is applied since no parameter information is needed, and the description doesn't add unnecessary details.

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

Purpose4/5

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

The description clearly states the tool's purpose with a specific verb ('Get') and resource ('available language codes for species names'), making it easy to understand what the tool does. However, it doesn't explicitly differentiate itself from sibling tools like 'get_taxonomic_forms' or 'get_taxonomic_groups', which prevents a perfect score.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention any prerequisites, context for usage, or comparison with sibling tools, leaving the agent with no usage instructions beyond the basic purpose.

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/mattjegan/ebird-mcp'

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