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mattjegan

eBird MCP Server

by mattjegan

get_adjacent_regions

Find bordering regions for any eBird location code to explore nearby birding areas and expand your search radius for observations.

Instructions

Get regions that share a border with the specified region.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
region_codeYesCountry, subnational1, or subnational2 code

Implementation Reference

  • Handler function that fetches adjacent regions from eBird API /ref/adjacent/{region_code} endpoint using makeRequest helper and returns formatted JSON response.
    async (args) => {
      const result = await makeRequest(`/ref/adjacent/${args.region_code}`);
      return { content: [{ type: "text", text: JSON.stringify(result, null, 2) }] };
    }
  • Zod input schema defining the region_code parameter.
    {
      region_code: z.string().describe("Country, subnational1, or subnational2 code"),
    },
  • src/index.ts:383-393 (registration)
    MCP server.tool registration of the get_adjacent_regions tool including description, schema, and handler.
    server.tool(
      "get_adjacent_regions",
      "Get regions that share a border with the specified region.",
      {
        region_code: z.string().describe("Country, subnational1, or subnational2 code"),
      },
      async (args) => {
        const result = await makeRequest(`/ref/adjacent/${args.region_code}`);
        return { content: [{ type: "text", text: JSON.stringify(result, null, 2) }] };
      }
    );
  • Shared helper function for making authenticated HTTP requests to eBird API endpoints.
    async function makeRequest(endpoint: string, params: Record<string, string | number | boolean> = {}): Promise<unknown> {
      const url = new URL(`${BASE_URL}${endpoint}`);
      Object.entries(params).forEach(([key, value]) => {
        if (value !== undefined && value !== null) {
          url.searchParams.append(key, String(value));
        }
      });
    
      const response = await fetch(url.toString(), {
        headers: { "X-eBirdApiToken": API_KEY! },
      });
    
      if (!response.ok) {
        throw new Error(`eBird API error: ${response.status} ${response.statusText}`);
      }
    
      return response.json();
    }
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. It states the tool's function but lacks details on permissions, rate limits, output format, or error handling. For a read operation with no annotations, 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 with no wasted words. It is front-loaded with the core purpose and efficiently communicates the tool's function without unnecessary elaboration.

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 the lack of annotations and output schema, the description is insufficiently complete. It doesn't explain what the tool returns (e.g., list of region codes, names, or details), potential errors, or usage constraints, leaving the agent with incomplete context for effective tool invocation.

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 schema description coverage is 100%, with the parameter 'region_code' documented as accepting country or subnational codes. The description adds no additional meaning beyond this, such as examples or constraints, so it meets the baseline for high schema coverage without compensating further.

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 regions') and the resource ('adjacent regions'), specifying that they share a border with a given region. It distinguishes from siblings like 'get_region_info' or 'get_sub_regions' by focusing on adjacency rather than general info or hierarchical subdivisions, though it doesn't explicitly name alternatives.

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 sibling tools like 'get_sub_regions' or 'get_region_info', nor does it specify prerequisites, exclusions, or contextual cues for selection.

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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