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Find a UK golf society to join

find_golf_society

UK golf societies listed on GolfPrice AI’s Find a Society as open to new members, searchable by town, county or name, with each society’s area, description and member count and a link to join. Updated every 6 hours. Useful for golfers who want regular golf without a full club membership.

Input Schema

NameRequiredDescriptionDefault
areaNoTown, county or society name, e.g. "Leeds" or "Surrey". Leave empty to list all.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the full load and does a good job: it names the data source, discloses the 6-hour refresh cadence, and specifies which records are returned (only societies marked open to new members). It omits ordering or result-count behavior, but the coverage constraint is a genuinely useful caveat.

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?

Front-loaded with the resource and search keys, then the payload, then freshness, then audience — a sensible order with no filler sentences. The searchable-by clause duplicates the schema slightly, costing a small amount of tightness.

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

Completeness5/5

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

There is no output schema, and the description compensates fully by enumerating the returned fields (area, description, member count, join link) plus data freshness and record eligibility. An agent has everything needed to decide relevance and call it with or without the optional filter.

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

Parameters3/5

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

Schema coverage is 100% and the single parameter already documents that it matches town, county or society name and that empty lists all. The description restates the same matching semantics without adding format, partial-match, or ambiguity-resolution detail, so it is baseline value over the schema.

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 resource (UK golf societies listed as open to new members) and its scope (searchable by town, county or name), with the return fields spelled out. It does not explicitly differentiate itself from siblings like golf_society_guide, but the directory-lookup framing is distinct enough for an agent to pick correctly.

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?

"Useful for golfers who want regular golf without a full club membership" implies the audience and trigger, but there is no when-not-to-use guidance and no named alternative among the golf_society_* siblings. The agent must infer routing from the purpose statement alone.

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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