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christianclaudio

io.github.christianclaudio/espn

Games Get Transactions

games_get_transactions
Read-onlyIdempotent

Fetch recent player trades, free agent signings, waiver claims, roster activations, and injury reserve designations for a specified sport and league.

Instructions

Fetch recent league player transactions (trades, free agent signings, waiver claims, roster activations, and injury reserve designations).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
sportYes
leagueYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.2.9

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive, open-world behavior, so the safety profile is covered. The description adds value by naming the transaction categories returned, which is central since there is no output schema, but it says nothing about ordering, volume, or how 'recent' is bounded.

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?

A single sentence that is front-loaded on the action and then spends its remaining words on the enumerated output categories. No filler, no restatement of the title.

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?

Adequate for a simple read-only list call: annotations cover safety and the description covers content. However, with no output schema and no parameter documentation, the agent still lacks sport/league value formats and any sense of result size or ordering – gaps that matter for correct invocation.

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

Parameters2/5

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

Schema description coverage is 0% for all three parameters, so the description carries the full burden and does not meet it. It never explains the accepted value formats for sport/league, nor the role of limit beyond the schema default of 25 – the phrase 'league player transactions' only weakly implies that sport and league scope the query.

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?

Uses a precise verb+resource ('Fetch ... player transactions') and enumerates the exact record types returned (trades, free agent signings, waiver claims, roster activations, IR designations). No sibling tool covers league transactions, so an agent can distinguish it from games_get_league_events or teams_get_team_roster on the name alone.

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

Usage Guidelines2/5

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

No when-to-use or when-not-to-use guidance, no mention of alternatives, and no prerequisites stated. The word 'recent' implies a recency scope but the description never says how recent, whether pagination applies, or when to prefer this over news_get_news for roster moves.

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