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Trampoline Park Data Agent API

About Trampoline Park Data data

about
Read-only

What Trampoline Park Data (https://trampolineparkdata.com) measures at trampoline and adventure parks, its plans, free sample day and every document id, plus its sister sites.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "about"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds useful scope detail about what content is exposed (plans, sample day, document ids, sister sites), but says nothing about the response shape, size, or whether the embedded URL implies any network behavior.

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 that lists the covered topics without filler or repetition. Every clause adds a distinct piece of scope information.

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 zero-parameter, no-output-schema informational tool, the description covers enough: it tells the agent which topics the overview answers. It could go slightly further by stating what the returned document looks like or how to use the listed document ids, but nothing critical is missing.

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 schema-based baseline of 4 applies. No parameter meanings need explaining, and the description appropriately spends no words on arguments.

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 enumerates concrete content the tool surfaces: measured metrics at trampoline/adventure parks, plans, a free sample day, document ids, and sister sites. That is specific enough that an agent can tell this is an informational overview rather than a data query. It stops short of a clean verb-and-resource statement (it reads as a noun phrase and does not explicitly distinguish itself from fetch/search).

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 by the name 'about' and the overview framing; there is no explicit 'use this when...' or 'if you want records, use search instead' routing. The mention of 'every document id' hints at an orientation role before fetching, but that inference is left to the agent.

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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