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christianclaudio

io.github.christianclaudio/espn

Games Get League Draft

games_get_league_draft
Read-onlyIdempotent

Fetch draft rounds, team selections, and pick results for a sport and league, with optional season filtering.

Instructions

Fetch league draft rounds, team selections, and pick results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sportYes
leagueYes
seasonNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.2.9

TDQS

C2.8/5.0
Behavior2/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is fully covered elsewhere. The description adds nothing beyond a restatement of the returned data - no rate limits, no season-default behavior, no data-freshness notes.

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 front-loaded sentence with no filler; the verb and the three returned data categories are packed efficiently.

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

Completeness2/5

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

Three parameters with zero schema descriptions, no output schema, and no enums leave the agent guessing about valid identifiers and default-season behavior. For a tool whose only documentation is one sentence, this is under-specified.

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%, so the schema gives only names and types for sport, league, and season. The description does not explain expected string formats (e.g., 'nba' vs 'basketball'), nor what omitting season (default null) returns, so it fails to compensate for the coverage gap.

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 (Fetch) and resource (league draft), and enumerates the returned content: rounds, team selections, pick results. It is clearly distinguishable from the scoreboard/standings/roster siblings, though it does not name a related tool to contrast with.

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 guidance on when to call this versus the many other games_* endpoints, no mention of prerequisites, and no indication of what sport/league/season combinations are valid. The agent must infer usage entirely from the name.

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