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stat-api — Sports Data

List tables

list_tables
Read-onlyIdempotent

List every queryable table in one league with a one-line summary each. No credentials needed. Follow with describe_table before querying.

Input Schema

NameRequiredDescriptionDefault
leagueYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / league / enum
      Previous value: -[
      -  "nfl",
      -  "nba",
      -  "mlb",
      -  "nhl",
      -  "pga",
      -  "dfs",
      -  "kalshi",
      -  "polymarket",
      -  "reference"
      -]New value: +[
      +  "nfl",
      +  "nba",
      +  "mlb",
      +  "nhl",
      +  "pga",
      +  "dfs",
      +  "reference"
      +]
  2. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds context annotations do not carry: that no credentials are required and that each row is a one-line summary, which sets expectations for the response.

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 tight sentences; the purpose and scope are front-loaded and the sequencing hint follows without padding. Every clause earns its place.

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 single-parameter read tool with full annotation coverage and no output schema, the description supplies purpose, auth expectation, response shape, and next-step guidance. Nothing needed to invoke it correctly is missing.

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 0% and the single 'league' enum has no per-value descriptions. The description does imply the call is scoped to exactly one league, which clarifies the parameter's semantics, but it adds nothing about the enum members or the required-ness.

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?

States a specific verb (list), resource (queryable tables), and scope (one league) with the return shape ('one-line summary each'). This clearly separates it from list_leagues and the query tools in the sibling set.

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?

Gives the workflow ordering explicitly ('Follow with describe_table before querying') and notes 'No credentials needed', so the agent knows the natural next step. It does not, however, distinguish when to prefer this over list_leagues or query_table.

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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