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alesdev88

Archicad-MCP

by alesdev88

Search property and attribute definitions

search_definitions
Read-only

Locate Archicad property and attribute definitions via fuzzy, case-insensitive matches on names, groups, and enum values. Get exact addresses for querying or editing element data.

Instructions

Fuzzy search over property and attribute definitions, so a caller does not need to know the exact 'Group/Name'. Matches names, groups and enum values; case- and accent-insensitive. kind: 'property', 'attribute' (layers, fills, surfaces, composites, profiles, pen tables, ...) or 'any'. alternatives: up to 6 synonyms or translations searched too (useful on non-English projects). editable_only: keep only properties whose value can be written on at least one element type; check it before set_element_data. Each property match carries 'property', the exact address find_elements, get_element_data, set_element_data and rules accept, plus value_type, measure_type (Length/Area/Volume/Angle values are in m, m2, m3, radian), collection, editable, expression_based and enum_values. Results are ranked: whole-word matches first, then word starts, then substrings; a query word under 4 letters must start a word. total_matches counts everything; pass next_offset as offset to page past limit. Reads definitions only, never property values.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNoany
portNo
limitNo
queryYes
offsetNo
alternativesNo
editable_onlyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. Addedv0.5.1

TDQS

A4.6/5.0
Behavior5/5

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

Annotations only declare readOnlyHint=true and destructiveHint=false. The description adds substantial behavior beyond that: case- and accent-insensitivity, ranking orter (whole-word → word-start → substring, with the 4-letter minimum rule), pagination via total_matches/next_offset, and the key reassurance 'Reads definitions only, never property values'. It also discloses output units (m, m2, m3, radian) and match result fields. Nothing contradicts the read-only 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?

Long, but every sentence earns its place given 0% schema coverage and rich output semantics. It is front-loaded with purpose, then matching, per-parameter semantics, output contract, ranking, pagination, and finally safety. No filler, repetition of the title, or restating of annotations; the density is justified by the information load.

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?

For a 7-parameter fuzzy search with an output schema, the description covers match semantics, per-parameter meaning, result fields with units, ranking order, pagination mechanics, and a safety statement. An output schema exists, so return values needn't be spelled out — yet this goes beyond. Remaining gaps are 'port' semantics and any note on empty/no-match results, which are minor against this coverage. A 4 reflects that near- but not fully-complete state.

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?

Schema description coverage is 0%, so the description must carry the semantics and largely does: kind gets its allowed values with examples, alternatives gets its count and translation use-case, editable_only gets its workflow caveat, and offset/limit are covered by the next_offset pagination sentence. query is implicit in the search framing. Only 'port' receives no explanation, and 6 of 7 parameters are meaningfully enriched. The gap on port prevents a 5.

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+resource: 'Fuzzy search over property and attribute definitions', and explains the purose — 'a caller does not need to know the exact Group/Name'. This distingushes it from sibling element-search and value-access tools (find_elements, get_element_data) by making clear it searches defintions, not instances. The title and description align precisely.

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 opening line gives the trigger context: use this when you don't know the exact Group/Name. It also routes workflow with siblings: 'check it before set_element_data' for editable_only, and the output 'property' field is 'the exact address find_elements, get_element_data, set_element_data and rules accept'. Missing an explicit when-not-to-use statement (e.g., if you already know the exact address, call the data tools directly), which prevents a 5.

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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