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buy_pm_ai

Paid. Live Polymarket odds for 'ai' markets, sorted by 24h volume: odds per outcome, volume, liquidity, end date, link. $0.01 USDC on Base. No account, no API key. URL https://southpow.media/v1/polymarket/ai.

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": "buy_pm_ai"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNoMarkets, 1-50 (default 10)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses that the call is paid, the exact price and chain, the absence of auth requirements, the sort order, and the returned fields. It stops short of stating payment mechanics (per-call charge, what happens on payment failure, or rate limits), which keeps it off a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Extremely front-loaded — 'Paid.' is the first token, followed by what it returns, cost, and access requirements. The telegraphic fragment style is efficient but slightly harder to parse, and the raw endpoint URL is borderline redundant for an agent invoking a tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple (one optional param, no output schema) and the description compensates by enumerating returned fields and the payment/auth model. Remaining gaps are payment failure behavior and rate limits, which are secondary for a read of live odds.

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 coverage is 100% with a single optional 'limit' parameter, so the schema already documents range and default. The description adds only the sorting context ('sorted by 24h volume') and never mentions the limit parameter itself, so baseline 3 is appropriate.

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?

States a specific verb+resource: live Polymarket odds for 'ai' markets, sorted by 24h volume, with the exact fields returned. An agent can tell this apart from buy_pm_openai or generic buy_polymarket by topic, though the description never names those siblings to make the boundary explicit.

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?

Prerequisites are unusually clear ('Paid', '$0.01 USDC on Base', 'No account, no API key'), which tells the agent it can call without setup. However, there is no explicit when-to-use vs when-not guidance, e.g. no statement about when to prefer buy_polymarket or buy_pm_openai instead.

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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