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DanielTomaro13

sportsdata-mcp

polymarket_search

Search across sports events, markets, and profiles using free-text queries to find relevant odds and stats from multiple providers.

Instructions

Site-wide search over events/markets/profiles by free-text query.

Returns: {events:[…], tags:[…], profiles:[…]}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qYes
events_statusNo
limit_per_typeNo
Behavior2/5

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

No annotations are provided, so the description must carry full burden. It mentions the return structure but lacks details on pagination, error handling, rate limits, or authentication. For a search tool, this is insufficient.

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?

Two efficient sentences front-load the purpose then show return format. No wasted words.

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 three parameters and no output schema, the description provides only basic return format. Missing details on pagination, limits, and parameter behavior make it incomplete for an AI agent to invoke correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and the description only clarifies 'q' as a free-text query. Parameters 'events_status' and 'limit_per_type' are left completely unexplained, adding no value beyond the schema.

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 uses a specific verb ('search') and identifies the resources ('events/markets/profiles'), distinguishing it from sibling tools that target individual entities.

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 as a general search but offers no explicit guidance on when to use vs. alternatives, nor any exclusions. It is implied but not stated.

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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