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DanielTomaro13

sportsdata-mcp

mfl_my_leagues

Read-onlyIdempotent

Retrieve every league you're in for a season, including your franchise ID required by other tools. Provide your MFL cookie to unlock this data and get the IDs needed for writes.

Instructions

Every league YOU are in, with your franchise id in each. Needs your cookie. The way to find the ids every other tool wants.

Returns: {leagues:{league:[{league_id, franchise_id, name, url}]}} — franchise_id is YOUR four-digit id in that league, which every write needs. Returns nothing useful without MFL_COOKIE.

Example: My leagues this season {"year": 2026}

Auth: works without a key; MFL_COOKIE unlocks more if set.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
JSONNoLeave as-is.
TYPENoLeave as-is.myleagues
yearYesSeason year. Required — part of the URL path.
FRANCHISE_NAMESNo1 also returns franchise names.
Install Server

TDQS

A4.5/5.0
Behavior4/5

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

Annotations declare readOnlyHint, openWorldHint, and idempotentHint, so the read-only nature is covered. The description adds the cookie dependency, the return format, and the note that it works without a key but MFL_COOKIE unlocks more, which goes beyond the annotations. This is valuable context, though the 'more' is vague.

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 concise and well-structured: it leads with the purpose, then return format, then auth. Each sentence is informative, and the example is nestled in. No filler.

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?

The description is complete for a read-only tool: it explains the key output (franchise_id), the required parameter (year), and the authentication requirement. Even without an output schema, the return structure is provided. Nothing needed for correct usage 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?

Input schema has 100% coverage: JSON and TYPE are described as 'Leave as-is,' year is required, and FRANCHISE_NAMES is explained. The description does not add meaning beyond the schema, but it does provide an example with 'year'. Baseline 3 is appropriate since the schema carries the burden.

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 states a specific purpose: 'Every league YOU are in, with your franchise id in each.' It also clarifies its role as 'The way to find the ids every other tool wants,' distinguishing it from sibling tools. This is a specific verb+resource with clear scope.

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?

The description explicitly explains when to use this tool: to obtain league and franchise IDs needed by other tools. It also warns that 'Returns nothing useful without MFL_COOKIE' and gives an example call, providing strong usage context.

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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