Skip to main content
Glama

get_club_starter_guidance

Retrieves advisory EDGA model templates, constitutional clauses, and administrative checklists for establishing a volunteer-led disc golf club in England. The tool prompts for or accepts customisation variables (such as club_name, adoption_date, and welfare_officer) to generate ready-to-adopt Word (.docx) documents.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYesThe specific governance or operational document required.
variablesNoOptional key-value pairs to populate template placeholders (e.g. club_name, adoption_date, welfare_officer, event_name). If omitted, the tool returns the required placeholders for the AI assistant to prompt the user before generating their personalised Word document.
include_disclaimersNoWhether to include mandatory legal, insurance, and safeguarding disclaimers.

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?

With no annotations, the description carries the full burden. It usefully discloses the output medium (ready-to-adopt .docx), the interactive placeholder-prompting flow, and that it accepts or requests customisation variables. It omits delivery details (file path, download vs. inline), any permission/auth requirements, and whether generation is idempotent or rate-limited.

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?

Two sentences, no padding, and the purpose is front-loaded before the interaction/variable mechanics. Every clause earns its place by adding scope, output format, or invocation behavior.

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?

For a tool with no annotations and no output schema, the description covers purpose, output type, and the variable-driven generation flow reasonably well, and the 14-value topic enum is exhaustively enumerated in the schema. Remaining gaps (how the .docx is returned, disclaimer enforcement) are modest.

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 description coverage is 100%, so the schema already documents topic, variables, and include_disclaimers thoroughly. The description adds the example keys (club_name, adoption_date, welfare_officer) and restates the omission-fallback behavior, but adds no syntax or format detail beyond the schema. Baseline 3 is appropriate.

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 names a specific verb (Retrieves) plus a concrete resource set (EDGA model templates, constitutional clauses, administrative checklists) and a tightly bounded domain (volunteer-led disc golf clubs in England). It is clearly distinguishable from siblings like search_courses or get_edga_tour, though it never explicitly names an alternative to route against.

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?

Usage is only implied: the agent can infer this is for starting/registering a new club, and the description clarifies the variable-filling interaction. There is no statement of when NOT to use it or which sibling covers related governance lookups (e.g. get_governance_policy).

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources