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demwick

Polymarket Agent Mcp

markets.search

Search Polymarket prediction markets by keyword to find trading opportunities with question, price, volume, and condition IDs for analysis.

Instructions

Search Polymarket markets by keyword query. Returns matching markets with question, price, volume, and condition_id. Use the condition_id from results with buy, get_price, or analyze_opportunity.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query (e.g. 'bitcoin', 'election', 'UFC')
limitNoMaximum number of markets to return
active_onlyNoOnly return active (non-resolved) markets
Behavior3/5

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

With no annotations provided, the description carries the full burden. It describes what the tool returns (matching markets with specific fields) and mentions downstream uses of the condition_id. However, it doesn't disclose important behavioral traits like rate limits, authentication needs, error conditions, or pagination behavior.

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 perfectly concise with two sentences that each earn their place. The first sentence states the purpose and return format, while the second provides usage guidance. No wasted words or redundancy.

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 search tool with 3 parameters and no output schema, the description provides adequate purpose and basic usage context. However, without annotations or output schema, it should ideally describe more about the return format structure, error handling, or performance characteristics to be fully complete.

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 all three parameters thoroughly. The description doesn't add any parameter-specific information beyond what's in the schema, maintaining the baseline score for high schema coverage.

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 verb ('Search') and resource ('Polymarket markets') with a specific method ('by keyword query'). It distinguishes from siblings like markets.featured or markets.trending by specifying keyword-based search functionality.

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

Usage Guidelines4/5

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

The description provides clear context for when to use this tool (searching by keyword) and mentions using results with other tools (buy, get_price, analyze_opportunity). However, it doesn't explicitly state when NOT to use it or name specific alternatives among the many sibling tools.

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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