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GregBaugues

Token Bowl MCP Server

by GregBaugues

get_recent_transactions

Retrieve recent fantasy football transactions, filter by type, date range, or drops, and include player details. Get up to 20 transactions sorted by recency.

Instructions

Get the most recent transactions, sorted by most recent first.

Args: limit: Maximum number of transactions to return (default: 20, max: 20). Can be an integer or string (will be converted). transaction_type: Filter by type. Valid values: 'waiver', 'free_agent', 'trade'. None returns all types. include_failed: Include failed transactions (default: False). drops_only: Return only transactions with drops (default: False). min_days_ago: Minimum days ago for transactions (default: None). max_days_ago: Maximum days ago for transactions (default: None). include_player_details: Include full player details (default: False, minimal data).

Returns a consolidated list of recent transactions including:

  • The most recent transactions (up to 20)

  • All transaction details (type, status, adds/drops, etc.)

  • Players with basic info only (name, team, position) by default

  • Days since transaction for drops when drops_only=True

  • Sorted by status_updated timestamp (most recent first)

  • Filtered by type, status, and date range if requested

Returns: List of transaction dictionaries sorted by recency with enriched player data

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
drops_onlyNo
max_days_agoNo
min_days_agoNo
include_failedNo
transaction_typeNo
include_player_detailsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It discloses useful traits: a hard cap of 20, recency sorting by status_updated, default minimal player data, and what the filters do. It omits auth/permission requirements and says nothing about whether the underlying read is scoped to a user/league, which an agent would want to know.

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 Args block is well organized and front-loaded, but the return information is stated three times (bullet list, 'Returns' prose, and a final 'Returns:' line), which is redundant padding rather than earned content.

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?

An output schema exists, so the description needn't spell out return values, and it is complete enough for an agent to call the tool: all parameters, defaults, and the sorting/filtering behavior are covered. The one missing piece is differentiation from the sibling transaction tool.

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, and it largely does: every one of the 7 parameters is explained with defaults, meaning, and valid values for transaction_type ('waiver', 'free_agent', 'trade'). Minor gap: limit is described as accepting a string that 'will be converted' while the schema types it as integer.

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 the most recent transactions') plus the ordering ('sorted by most recent first'), so the agent knows exactly what it retrieves. However, it never distinguishes itself from the sibling get_league_transactions, leaving the agent to infer which one to pick.

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 filtering options imply usage contexts (type filtering, date windows, drops-only), so intended use is suggested rather than stated. There is no explicit when-to-use-this-vs-alternatives guidance, and the overlap with get_league_transactions is never addressed.

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