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pr1m8

polymarket-mcp

by pr1m8

gamma_list_sports

Retrieve sports metadata to explore sports markets, teams, and events before narrowing search criteria.

Instructions

List sports metadata for sports-related discovery flows.

Use this tool when the user is exploring sports markets and you need sport metadata before narrowing to teams, events, or markets.

Prefer this tool when the question is explicitly sports-oriented. For a direct market/topic search, search_public is usually a faster first step.

Args: None.

Returns: list[dict[str, object]]: Raw sports payloads from Gamma.

Raises: httpx.HTTPError: If the upstream Gamma request fails.

Examples: .. code-block:: python

    sports = await list_sports()

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided; description does not disclose additional behavioral traits beyond listing and returning payloads. Mentions potential HTTPError but lacks details on rate limits, data size, or side effects.

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?

Well-structured with clear purpose and usage, but slightly verbose due to included code example. Could be trimmed without loss of essential info.

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

Completeness5/5

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

Covers purpose, usage, return type, and error handling. For a parameterless tool with simple output, description is complete and sufficient.

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?

No parameters, schema coverage 100%, description adds nothing beyond schema. Baseline 4 is appropriate as no additional param info is needed.

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?

Clearly states verb 'list' and resource 'sports metadata', distinguishes from siblings by specifying sports discovery flow and explicitly differentiating from search_public for direct market searches.

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

Usage Guidelines5/5

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

Explicitly states when to use (exploring sports markets needing metadata before narrowing) and when not to (direct market/topic search), and provides alternative tool (search_public).

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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