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yigitabi5444

Polymarket MCP Server

by yigitabi5444

get_midpoint

Calculate the midpoint price for a Polymarket prediction market token by averaging the best bid and ask prices to determine fair market value.

Instructions

Get the midpoint price for a Polymarket token (average of best bid and ask).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
token_idYesCLOB token ID

Implementation Reference

  • The actual implementation of the getMidpoint API call that fetches data from the CLOB endpoint.
    async getMidpoint(tokenId: string): Promise<ClobMidpoint> {
      return this.client.clob<ClobMidpoint>("/midpoint", {
        token_id: tokenId,
      });
    }
  • Registration and MCP tool handler for "get_midpoint", which calls the clob.getMidpoint method.
    server.tool(
      "get_midpoint",
      "Get the midpoint price for a Polymarket token (average of best bid and ask).",
      {
        token_id: z.string().describe("CLOB token ID"),
      },
      async (args) => {
        try {
          const data = await clob.getMidpoint(args.token_id);
          return { content: [{ type: "text", text: JSON.stringify(data, null, 2) }] };
        } catch (error) {
          return {
            content: [{ type: "text", text: `Error: ${(error as Error).message}` }],
            isError: true,
          };
        }
      },
    );
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 what the tool calculates but doesn't disclose behavioral traits like whether it's a read-only operation, potential rate limits, authentication needs, error conditions, or what format the result returns.

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 with zero wasted words. It's appropriately sized and front-loaded with the essential information.

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?

For a simple read operation with one parameter and no output schema, the description is minimally adequate but lacks important context about return format, error handling, and behavioral characteristics that would help an agent use it correctly.

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?

Schema description coverage is 100%, so the schema already documents the token_id parameter as 'CLOB token ID'. The description doesn't add any parameter-specific information beyond what the schema provides, maintaining the baseline score.

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 specific action ('Get'), the resource ('midpoint price for a Polymarket token'), and the calculation method ('average of best bid and ask'). It distinguishes from siblings like get_price or get_order_book by specifying the midpoint calculation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage when the midpoint price is needed, but doesn't explicitly state when to use this tool versus alternatives like get_price or get_order_book. No exclusions or prerequisites are mentioned.

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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