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sleeper-mcp

sleeper-mcp

by yooitsgreg
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

Get User's Drafts

sleeper_get_user_drafts
Read-onlyIdempotent

Retrieves all drafts a user has participated in for a specified sport and season. Returns draft IDs, types, statuses, and league IDs.

Instructions

Get all drafts a user has participated in for a given sport and season.

Args:

  • user_id (string): Sleeper user ID

  • sport (string): Sport (default: "nfl")

  • season (string): Season year (e.g. "2024")

Returns: List of drafts with draft ID, type, status, and league ID.

Examples:

  • "What drafts did user 123456 do in 2024?"

  • "Show all NFL drafts for this user"

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "user_id": "<user_id>",
      "season": "<season>"
    },
    "name": "sleeper_get_user_drafts"
  }
}

Input Schema

NameRequiredDescriptionDefault
sportNoSport (default: nfl)nfl
seasonYesSeason year, e.g. '2024'
user_idYesSleeper user ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the description adds value by specifying the return format (list of drafts with fields) and constraints (sport default, season format). No contradictions.

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, well-structured with clear sections (summary, args, returns, examples), and front-loaded with the core purpose. Every sentence adds value without redundancy.

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

Completeness4/5

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

The description is complete enough for a simple list retrieval tool, given no output schema. It lists returned fields and provides examples. Minor omission: no mention of pagination or sorting, but likely not needed for drafts.

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?

Input schema covers 100% of parameters with descriptions. The description adds examples and clarifies the season format (e.g., '2024'), which aids understanding beyond the schema alone.

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 uses a specific verb ('get') and resource ('drafts'), and clearly scopes to user participation for a given sport and season. This distinguishes it from sibling tools like sleeper_get_draft (single draft) and sleeper_get_league_drafts (league drafts).

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

Usage Guidelines3/5

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

The description does not explicitly state when to use this tool versus alternatives or provide exclusion criteria. While the examples imply usage for user-specific draft queries, no direct guidance is given to help an agent differentiate it from similar 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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