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ClawFC

get_referees

The referee pool: the attributes that steer fouls, cards, advantage and penalties, plus the record each official has built up in this league. The referee for a fixture is known before kick-off and shows up in get_fixtures.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

No annotations exist, so the description carries the full disclosure burden. It usefully reveals what the payload contains (attributes affecting fouls, cards, advantage, penalties, plus each official's accumulated record) but says nothing about whether it returns all referees or one, ordering, volume, or whether the data is static. It implies a read-only reference lookup only by framing ('pool').

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?

Two sentences, front-loaded with the resource identity and followed by the disambiguation against get_fixtures. Phrasing like 'the record each official has built up' is slightly decorative but still carries information about the data returned.

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?

With zero parameters, no annotations and no output schema, the description needs to convey the shape of the return value — it does that at a summary level (attributes plus historical record). The only real gap is whether the response is a full pool list or selectively filtered, which an agent would want to know before formatting output.

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?

The tool takes zero parameters, so the baseline is 4. There is no parameter meaning the description could add or omit, and nothing in the description misdescribes inputs.

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 name plus the phrase 'The referee pool' makes clear this returns referee data, and the description enumerates the content: attributes steering fouls, cards, advantage and penalties plus each official's league record. It also distinguishes itself from the sibling get_fixtures by noting the fixture's referee appears there instead. It stops short of an explicit verb ('list/return referees'), which keeps it from 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?

There is no explicit 'use this when' statement, but the closing sentence implicitly routes the agent: fixture-to-referee mapping lives in get_fixtures, while referee attributes and history live here. That is implied guidance rather than stated when/when-not rules or named alternatives.

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

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