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Sleeper MCP Server and API by Cotlet

Propose trade in Sleeper

sleeper_propose_trade
Read-onlyIdempotent

Propose trade in the user's own Sleeper account from ChatGPT, Claude or any AI agent. Returns how to do it in Sleeper step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Sleeper Cloud Browser. Sleeper's official API: Sleeper has only a limited API (checked 28 Oct 2026).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "sleeper_propose_trade"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

The annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, and the description is consistent with them by emphasizing that nothing is opened or changed by the call itself. It adds real context beyond the annotations by disclosing that the return value is a procedural walkthrough (screens, buttons, fields) that must be executed separately in the browser.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The core behavior is front-loaded and the middle sentence is dense with useful detail, but the trailing API sentence ("Sleeper's official API: Sleeper has only a limited API (checked 28 Oct 2026)") is awkwardly phrased and largely filler. The second sentence also crams several distinct ideas into one long clause.

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

Completeness3/5

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

With no output schema, the description does a decent job of saying what comes back (a step-by-step procedure). However, with zero parameters it never explains how the agent should convey which league, partner, or players the proposed trade involves, leaving a meaningful operational gap for a task that normally requires those specifics.

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?

The tool takes zero parameters, so there is no schema semantics for the description to supplement; the baseline for a no-parameter tool applies. Nothing in the description misrepresents the empty input schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource ("Propose trade in the user's own Sleeper account") and makes the scope explicit. It does not explicitly contrast with the sibling sleeper_answer_trade_offer, so an agent must infer the propose-vs-respond distinction from the names alone.

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?

It clearly sets expectations for use: the tool returns step-by-step instructions and "opens nothing by itself," and the agent should then act with cotlet_browser_* tools in the user's Cloud Browser. That is actionable routing guidance, though it offers no explicit exclusions or mention of when the sibling trade-offer tool would be the better choice.

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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