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touchlinewire

touchlinewire

get_clubs

Read-onlyIdempotent

List all 20 Premier League clubs with managers, stadium names and capacities, primary colors, and set-piece specialists for quick team reference.

Instructions

List all 20 Premier League clubs with official managers, stadium names, capacities, primary club colors, and designated set-piece specialists (corners, free kicks, penalties).

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.2.0
    • removedInput schema / $schema
      Removed value: -"http://json-schema.org/draft-07/schema#"
  2. First observedv1.1.0

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered. The description adds genuine behavioral value on top: it discloses that the result set is complete (all 20 clubs, so no paging or filtering behavior to plan for) and that each record carries several joined attributes. It does not state which season the data reflects or whether it is static, which keeps it out of 5 territory.

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 the verb and scope first, followed by a compact field inventory. Every element earns its place, since with no output schema the field list is the only description of the return value.

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 no parameters and no output schema, the description carries the full burden of describing the response, and it does so by naming the five attribute groups returned. For a simple static reference tool this is close to sufficient. The remaining gap is that nothing says which season or snapshot the club data represents, or whether set-piece specialists can be null.

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 there is nothing for the description to disambiguate and the baseline of 4 applies. The description correctly implies the call requires no arguments by framing the output as the full list of 20 clubs.

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 description gives a specific verb ("List") and resource ("all 20 Premier League clubs") and enumerates exactly what each record contains: managers, stadium names, capacities, colors, and set-piece specialists. That is enough for an agent to know it is a bulk club-reference lookup. It stops short of a 5 because it never distinguishes itself from the overlapping sibling get_set_piece_takers, which presumably also surfaces set-piece personnel.

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?

There is no when-to-use statement, no prerequisites, and no named alternative. The overlap with get_set_piece_takers is left unresolved, so an agent looking for penalty/corner takers cannot tell which of the two tools to call. The only implicit signal is "all 20", which suggests a complete unfiltered dump, but that is inference rather than guidance.

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