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mattjegan

eBird MCP Server

by mattjegan

get_taxonomic_forms

Retrieve subspecies and taxonomic forms for bird species using eBird's taxonomy data to support detailed biological research and identification.

Instructions

Get subspecies/forms for a species.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
species_codeYesThe species code (e.g., 'cangoo' for Canada Goose)

Implementation Reference

  • Handler that calls the eBird API endpoint /ref/taxon/forms/{species_code} and formats the response as text content.
    async (args) => {
      const result = await makeRequest(`/ref/taxon/forms/${args.species_code}`);
      return { content: [{ type: "text", text: JSON.stringify(result, null, 2) }] };
    }
  • Zod input schema requiring a species_code string parameter.
    {
      species_code: z.string().describe("The species code (e.g., 'cangoo' for Canada Goose)"),
    },
  • src/index.ts:480-490 (registration)
    Registration of the get_taxonomic_forms tool using McpServer.tool() with description, schema, and handler.
    server.tool(
      "get_taxonomic_forms",
      "Get subspecies/forms for a species.",
      {
        species_code: z.string().describe("The species code (e.g., 'cangoo' for Canada Goose)"),
      },
      async (args) => {
        const result = await makeRequest(`/ref/taxon/forms/${args.species_code}`);
        return { content: [{ type: "text", text: JSON.stringify(result, null, 2) }] };
      }
    );
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 states a read operation ('Get'), implying non-destructive behavior, but doesn't disclose any behavioral traits such as rate limits, authentication needs, or what the output format might be (e.g., list of forms). 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, efficient sentence that directly states the tool's purpose without any wasted words. It's appropriately sized and front-loaded, making it easy to grasp quickly.

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 'subspecies/forms' means in this context, what the return values might be, or any behavioral aspects. For a tool with taxonomic complexity, more context is needed to be fully helpful.

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?

The input schema has 100% description coverage, with 'species_code' clearly documented. The description adds no additional meaning beyond the schema, such as format details or examples beyond what's in the schema description. Baseline 3 is appropriate since the schema does the heavy lifting.

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 action ('Get') and resource ('subspecies/forms for a species'), making the purpose understandable. However, it doesn't differentiate from sibling tools like 'get_taxonomy' or 'get_taxonomic_groups', which might also retrieve taxonomic information, so it lacks explicit distinction.

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. With many sibling tools related to taxonomy and observations, there's no mention of context, prerequisites, or exclusions, leaving usage ambiguous.

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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