Skip to main content
Glama
alesdev88

Archicad-MCP

by alesdev88

Write element properties

set_element_data
Destructive

Update Archicad element properties by previewing planned current-to-new changes in a dry run, then commit with dry_run=false.

Instructions

Write element property values. DRY-RUN BY DEFAULT: returns planned changes (current -> new) without touching the model. Pass dry_run=false to commit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
portNo
changesYes
dry_runNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A3.9/5.0
Behavior4/5

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

Beyond the destructiveHint annotation, the description adds important behavioral context: it explains the default dry-run behavior, that it returns planned changes (current -> new), and which flag commits. This is valuable safety-relevant behavior not visible from the schema or annotations alone.

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, with the most important safety behavior (dry-run by default) front-loaded. Every sentence adds value and there is no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Although an output schema exists, the input side is under-specified. The agent knows the tool's intent and dry-run mechanism, but the required 'changes' structure and the optional 'port' semantics are missing. For a mutating tool, this is a significant gap that could lead to incorrect calls.

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?

Schema description coverage is 0%, so the description carries the burden of explaining parameters. It explains dry_run well, but the required 'changes' parameter is left completely underspecified—an array of objects with arbitrary additional properties—and 'port' is not explained at all. An agent cannot reliably construct a valid request payload from this definition.

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 operation: 'Write element property values.' It identifies the resource (element properties) and the action (writing/setting), and the dry-run behavior distinguishes it from sibling read-only tools like get_element_data. This is specific enough for an agent to select the right category of tool.

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 gives clear operational guidance: it explicitly states that the tool runs in dry-run mode by default and that dry_run=false commits changes. It does not explicitly name alternatives or when-not-to-use conditions, but the write-vs-read distinction from sibling tools is reasonably obvious.

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

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/alesdev88/Archicad-MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server