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pr1m8

polymarket-mcp

by pr1m8

gamma_list_teams

Get team metadata for sports-market exploration. Identify teams before searching for events or markets.

Instructions

List team metadata for sports-market exploration.

Use this tool when a sports workflow needs team-level metadata before finding related events or markets.

Prefer this tool after identifying a sport or when the user explicitly asks about teams. For non-sports discovery, use other Gamma tools instead.

Args: None.

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

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

Examples: .. code-block:: python

    teams = await list_teams()

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided, so the description carries full burden. It discloses the return type, potential HTTPError, and shows usage via example. Could be improved by explicitly stating it is a safe read-only operation, but overall behavior is clear.

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 well-structured with a purpose statement, usage guidance, args/returns/raises, and an example. Every sentence adds value without unnecessary verbosity.

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?

For a simple zero-parameter tool with an output schema, the description covers purpose, usage context, error handling, and provides an example. It is complete and self-contained.

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 exist, so the description does not need to add parameter-level information. Given zero parameters, baseline is 4.

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 it lists team metadata for sports-market exploration, distinguishing it from siblings by specifying the domain (sports) and context (after identifying a sport or when explicitly asked about teams).

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 this tool: 'when a sports workflow needs team-level metadata before finding related events or markets' and advises against using it for non-sports discovery, directing to other Gamma 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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