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jmercer187

sleeper-mcp

by jmercer187

search_players

Search the cached NFL player database by name, team, or position to find compact player records with ID, status, and team details.

Instructions

Search the cached NFL player database by name, team or position.

Matching is fuzzy and case-insensitive (e.g. "josh allen", "Allen", "BUF", "QB"). Returns compact records with player_id, name, position, team and status.

Args: query: Name fragment, team abbreviation, or position. limit: Maximum number of results (default 10).

Input Schema

NameRequiredDescriptionDefault
limitNo
queryYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations provided, the description carries the behavioral burden and does well: it discloses fuzzy, case-insensitive matching, the cached data source, and the compact return fields. It does not discuss cache freshness, refresh requirements, or explicit read-only semantics, but the core 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 front-loaded with purpose and matching behavior, then compactly lists parameters. It uses examples efficiently and has no fluff. The return-field sentence is slightly redundant with the output schema but still supports immediate understanding.

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?

For a simple two-parameter search tool with an output schema, the description provides enough to invoke it correctly. It explains matching behavior and parameter meanings. The main gap is not routing the agent away from get_player or toward refresh_players when the cache may be stale.

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?

Schema description coverage is 0%, so the description must compensate. It documents both parameters meaningfully: query as a name fragment, team abbreviation, or position, and limit as the maximum number of results with a default of 10. It could specify more about query edge cases or limit bounds, but the core semantics are covered.

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: "Search the cached NFL player database." It also clarifies the searchable fields (name, team, position) and matching behavior. It does not explicitly differentiate this from siblings like get_player or refresh_players, so it is clear but not sibling-routing.

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 implies usage by explaining that queries can be name fragments, team abbreviations, or positions, and gives examples. However, it does not explicitly state when to use this instead of get_player for exact lookup or refresh_players for cache updates.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.