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mcp-archimate

mcp-archimate

by byrondelgado
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

get_usage_guide

Read-only

Retrieve the usage guide for this ArchiMate MCP server to learn recommended workflows, anti-patterns, and response conventions without inspecting source code.

Instructions

Return the client-facing usage guide for this ArchiMate MCP server.

Call this tool when you are unsure how to operate the server. It is
intended to prevent source-code inspection: do not inspect the MCP
server source code to learn normal usage. Use this guide, prompts,
tools/list, and resources/list instead.

Returns:
    Success envelope with recommended workflows, anti-patterns,
    response conventions, and important tools.

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": "get_usage_guide"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, so the description adds context: it prevents source-code inspection and returns a success envelope with specific content (workflows, anti-patterns, etc.). This provides behavioral insight beyond annotations.

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?

The description is concise with no wasted words. It includes purpose, usage guidance, and return content in a few sentences, making it easy to read and understand.

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?

Given zero parameters and existing annotations, the description fully covers the tool's purpose, when to call it, and what it returns. It is complete for an AI agent to decide to use it.

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 has no parameters (schema coverage 100%), so the description correctly doesn't mention parameters. Baseline for 0 parameters is 4, and no additional explanation is needed.

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?

The description clearly states the tool returns a client-facing usage guide for the ArchiMate MCP server. It specifies the verb 'Return' and the resource 'usage guide,' and distinguishes it from siblings by noting it is for server operation guidance.

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?

The description explicitly tells when to use the tool: when unsure how to operate the server. It also provides clear alternatives: use prompts, tools/list, and resources/list instead of source-code inspection, preventing misuse.

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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