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Get an example business

trustycap_get_launch_kit
Read-onlyIdempotent

Use this before writing or changing code from an example. The whole example: the step-by-step workflow with the capability each step calls, which steps stop for a human, what one unit of the builder's business costs at list price, the production checklist, and the customization contract. The contract classifies every surface as customizable, extensible, required, platform_managed or protected, so you can transform the example into a materially different product (new name, brand, audience, pricing, screens, workflow, capability mix) without touching the authorization, metering, proof or payment-authority boundaries that make the result trustworthy.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesComposition id, e.g. vehicle-finance

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / id / description
      Previous value: -"Launch Kit id, e.g. vehicle-finance"New value: +"Composition id, e.g. vehicle-finance"
  2. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive, so the description goes beyond the safety profile by disclosing the return contents and the crucial behavioral fact that the contract classifies surfaces as customizable/extensible/required/platform_managed/protected, guarding the authorization, metering, proof and payment boundaries. That is meaningful operational context beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The usage guidance is front-loaded, but the second sentence is a long run-on with an over-packed parenthetical listing ("new name, brand, audience, pricing, screens, workflow, capability mix") that could be trimmed without losing meaning.

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 output schema, the description carries the return-value burden and does so thoroughly, enumerating the kit's components and the classification scheme. It is complete enough for an agent to call and use the result, though the absence of field-level detail is a minor gap.

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 id parameter is documented ("Composition id, e.g. vehicle-finance"), and the description adds nothing about parameter format or valid inputs. Baseline 3 applies when the schema carries the parameter burden.

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 verb+resource (get the launch kit / example business) and enumerates the contents: workflow, per-step capabilities, human stops, cost, production checklist, customization contract. Clear what it does, though it does not name or distinguish itself from siblings like get_native_kit or list_launch_kits.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

"Use this before writing or changing code from an example" gives a clear when-to-use context. No when-not conditions or explicit alternatives are stated, so it stops short of full routing guidance.

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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