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GregBaugues

Token Bowl MCP Server

by GregBaugues

get_trending_players

Identify trending NFL players by recent add/drop activity across Sleeper leagues. Filter by position, transaction type, and limit to guide waiver wire decisions.

Instructions

Get trending NFL players based on recent add/drop activity across all Sleeper leagues.

Args: type: Transaction type to track (default: "add") Must be exactly "add" or "drop" (case-sensitive). - "add": Players being picked up from waivers/free agency - "drop": Players being dropped to waivers limit: Maximum number of players to return (default: 10, max: 25). Can be integer or string (will be converted). position: Filter by position (QB, RB, WR, TE, DEF, K). None returns all positions. Case-insensitive (will be uppercased).

Returns trending players with:

  • Full player information including name, position, team

  • FFNerd enrichment data (projections, injuries when available)

  • Count of adds/drops over the last 24 hours

  • Useful for identifying breakout players or injury news

  • Great for waiver wire decisions

Returns: List of dictionaries with enriched player data and add/drop counts

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoadd
limitNo
positionNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses the 24-hour aggregation window, the max limit of 25, case-sensitivity of 'type', and the enrichment (FFNerd projections/injuries). It omits auth requirements, rate limits, and error behavior, which keeps it from a 5.

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

Conciseness4/5

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

Purpose is front-loaded and the Args block is well organized. Minor waste: the 'Returns trending players with:' bullet list is partly duplicated by the trailing 'Returns:' sentence, so the return information appears twice.

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?

All three parameters are documented, the time window and return shape are explained, and an output schema exists so return values need not be re-specified. Complete for calling the tool correctly; only the redundant return description and missing sibling routing leave a small gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, yet the description fully compensates: it defines 'add' vs 'drop' semantics, gives defaults and max for 'limit' (including string coercion), and lists valid position codes with case-insensitive handling and null-means-all behavior. This is exactly the value a description should add when the schema is bare.

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?

States a specific verb and resource ('Get trending NFL players') and adds a scoping clause ('based on recent add/drop activity across all Sleeper leagues') that signals it is not league-scoped. It does not explicitly differentiate itself from close siblings like get_waiver_wire_players or get_trending_context, so it stops short of a 5.

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 offers implied usage ('Useful for identifying breakout players or injury news', 'Great for waiver wire decisions') but never states when to prefer this over get_waiver_wire_players or get_trending_context, nor any exclusions. Usage is suggested rather than routed.

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