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Archicad-MCP

Archicad-MCP

by alesdev88
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Local

Validate a schedule scheme

validate_schedule_scheme
Read-only

Checks an exported schedule scheme against the open Archicad project to verify property bindings still exist and column captions match their bound properties, using property definitions only to prevent crashes.

Instructions

Check an exported schedule scheme against the open project: do its property bindings still exist, and does any column caption disagree with what it is bound to. Reads property definitions only, not values, so it does not risk the property-read crash.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "path": "<path>"
    },
    "name": "validate_schedule_scheme"
  }
}

Input Schema

NameRequiredDescriptionDefault
pathYes
portNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.1/5.0
Behavior5/5

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

The annotations already declare readOnlyHint=true and destructiveHint=false, and the description adds valuable behavioral context by stating it reads property definitions only, not values, and therefore avoids the property-read crash. It also discloses exactly what validations are performed, which goes beyond the structured 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 two compact sentences with the main action front-loaded and no wasted words. The safety-related note earns its place by explaining why this validation is safe to call.

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?

The tool is simple, has an output schema, and the annotations cover the read-only/destructive profile. The description covers the core behavior and safety context. The main gap is the lack of parameter semantics for path and port, but the overall definition is still reasonably complete for a read-only validation tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage, and the description does not explain the meaning of 'path' or 'port'. It provides context that the tool operates on an exported schedule scheme, but it does not compensate for the undocumented parameters, especially the optional 'port' parameter.

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 uses a specific verb ('Check') and identifies the exact resource ('an exported schedule scheme against the open project') with two concrete validation criteria: property binding existence and column caption agreement. This clearly distinguishes the tool from siblings like read_schedule_scheme and edit_schedule_scheme.

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?

The description implies this tool is for validating a scheme rather than reading or editing it, but it does not explicitly state when to choose it over alternatives or mention sibling tools. The usage context is understandable but left mostly to inference.

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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