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Polymarket MCP Server

Polymarket MCP Server

by traderalvin1
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

check_health_data_api

Verify the operational status of the Polymarket Data API to ensure reliable access to prediction market analytics and portfolio data.

Instructions

Check Data API health via GET /. Returns JSON {data:"OK"}.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "check_health_data_api"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.0.15

TDQS

B3.4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses the HTTP method (GET) and expected response format (JSON {data:'OK'}), which are useful behavioral traits. However, it lacks details on error handling, timeouts, or authentication needs, leaving gaps for a health check tool.

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 extremely concise and front-loaded: it states the action, method, endpoint, and response in one sentence. Every word earns its place, with no wasted information, making it easy for an agent to parse quickly.

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 low complexity (0 parameters, no output schema, no annotations), the description is somewhat complete but has gaps. It covers the basic operation and response, but lacks error handling or usage context. For a health check tool, more behavioral details (e.g., what 'OK' implies) would improve completeness.

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 schema description coverage is 100% (empty schema). The description doesn't need to add parameter semantics, as there are none to explain. A baseline of 4 is appropriate since it efficiently handles the no-parameter case without redundancy.

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: 'Check Data API health via GET /.' It specifies the verb ('Check') and resource ('Data API health'), and mentions the HTTP method and endpoint. However, it doesn't explicitly differentiate from sibling tools like 'check_health_gamma', which might check a different API's health, so it's not a perfect 5.

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 'check_health_gamma' or explain the context for health checks (e.g., monitoring, diagnostics). Without any usage context, the agent must infer when this tool is appropriate.

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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