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Get an example installation

get_example
Read-onlyIdempotent

Fetch an example installation document by name to start a similar installation, then edit it with apply_patch.

Instructions

Return an example installation document by name. Use it as a starting point for a similar installation, then edit it with apply_patch; list_examples gives the names.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesExample name from list_examples, or its number prefix (e.g. '02').

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.1.3-dev
    • addedInput schema / properties / name / description
      Added value: +"Example name from list_examples, or its number prefix (e.g. '02')."
  2. First observedv0.1.1

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds useful workflow behavior (the document is meant to be a template mutated via apply_patch), which is context annotations cannot express. It does not elaborate on document size or format, but the output schema presumably covers return shape.

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, zero filler, with the core action front-loaded and the workflow/alternative trailing. Every clause carries information an agent needs.

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?

With an output schema present, return values need no explanation, and annotations carry the safety profile. What remains — how to obtain a name, what to do with the result, what tool mutates it — is all stated, so nothing needed to invoke it correctly is missing.

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% and the schema already documents that the name comes from list_examples and may be a number prefix. The description's "by name" adds no format detail beyond the schema, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ("Return an example installation document") plus the lookup key ("by name"). An agent can distinguish it from list_examples, which is named as the source of names, without opening a schema.

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

Usage Guidelines5/5

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

Gives explicit when-to-use ("as a starting point for a similar installation") and the follow-on action ("edit it with apply_patch"), and routes to the sibling that supplies valid names (list_examples). This is a complete workflow instruction, not vague context.

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