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mcp-archimate

by byrondelgado
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

export_relationships_to_csv

Read-only

Export all active model relationships to a CSV file, including base columns and custom properties.

Instructions

Export all active model relationships as a CSV string.

The CSV includes base columns `id`, `name`, `type`, `source_id`,
`target_id`. Custom properties are emitted as `Property:<name>`
columns.

Returns:
    Success envelope with `data.csv_data` containing the CSV string.

Errors:
    `ModelNotFoundError` if no model is active.

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": "export_relationships_to_csv"
  }
}

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
Behavior5/5

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

The description adds return format details and error conditions, going beyond the readOnlyHint and openWorldHint annotations. No contradictions.

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 and well-structured: purpose, column details, returns, errors. Every sentence adds value.

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 the simplicity (no parameters, no input schema complexity), the description covers purpose, output format, and error case completely.

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?

No parameters, so the description adds value by detailing output columns and custom properties. Baseline 4 applies due to 100% schema coverage.

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 it exports all active model relationships as a CSV string, with specific columns and custom properties. It distinguishes from sibling export tools like export_elements_to_csv.

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?

The description implies usage for exporting relationships and notes a prerequisite (active model). It lacks explicit alternatives or when-not-to-use guidance, but the context is clear.

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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