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revit_get_sheets

When to use: Enumerate the drawing sheets (title blocks with sheet number + sheet name like 'A-101: First Floor Plan') published from a translated Revit model, so an agent can pick which sheet to render, review, or cross-reference. When NOT to use: Do not use to list model views like floor plans or 3D views (use revit_get_views) — this returns only 2D sheet entries. APS scopes: data:read viewables:read (Model Derivative metadata + object tree). Rate limits: APS default ~50 req/min per app per endpoint; Model Derivative translation jobs ~60 req/min; OSS uploads size-limited per file to 100MB for direct upload, larger via resumable. Errors: 401 APS token expired — refresh. 403 scope insufficient — add viewables:read. 404 URN not found — check model_id. 429 rate limited — back off. 5xx APS upstream — retry with jitter. Side effects: Read-only. Idempotent.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
model_idYesBase64url-encoded URN of the translated Revit model whose sheets you want to list. Always begins with 'dXJu'.

Schema Changelog

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

  1. Changed3 schema fields changed
    • changedInput schema / properties / model_id / description
      Previous value: -"Base64-encoded URN"New value: +"Base64url-encoded URN of the translated Revit model whose sheets you want to list. Always begins with 'dXJu'."
    • addedInput schema / properties / model_id / examples
      Added value: +[
      +  "dXJuOmFkc2sub2JqZWN0czpvcy5vYmplY3Q6c2NhbmJpbS1yZXZpdC0xNzMxMjM0NTY3L015QnVpbGRpbmcucnZ0"
      +]
    • addedInput schema / properties / model_id / pattern
      Added value: +"^dXJu[A-Za-z0-9_-]+$"
  2. First observed

TDQS

A4.7/5.0
Behavior5/5

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

With no annotations provided, the description carries the full burden and delivers: APS scopes (data:read, viewables:read), rate limits, error responses with specific status codes and remedies, and side effects ('Read-only. Idempotent.'). This richly discloses behavior, going far beyond minimal mutation safety to include operational expectations.

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 uses labeled sections (When to use, When NOT to use, APS scopes, Rate limits, Errors, Side effects) that front-load the most important information. While it is longer than average, every sentence provides actionable detail without redundancy.

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?

For a simple one-parameter list operation, the description is complete: it explains what will be returned (sheet number + name), when to use it, how to avoid misusing it, auth scopes, errors, and side effects. No output schema exists, but the description sufficiently covers return values. The absence of pagination notes is a minor gap but does not undermine usability for an AI agent.

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

Parameters3/5

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

The input schema already fully documents model_id with pattern, examples, and description (coverage 100%). The tool description adds context about the URN being for a 'translated Revit model' but does not introduce new parameter-level syntax or constraints beyond the schema. Thus a baseline 3 is appropriate.

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 opens with 'Enumerate the drawing sheets (title blocks with sheet number + sheet name like 'A-101: First Floor Plan')' which precisely identifies the action and resource. It also explicitly contrasts with sibling tool revit_get_views by stating 'this returns only 2D sheet entries', making the purpose unambiguous and well-differentiated.

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 provides explicit 'When to use' and 'When NOT to use' sections, naming the exact alternative tool (revit_get_views) for model views. This is the highest level of usage guidance, clearly stating conditions for invocation and exclusions.

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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TDQS

A4.5/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: upload ingests, get_elements/get_parameters/get_sheets/get_views retrieve different types of data, run_schedule queries tabular views, clash_detect performs spatial analysis, and export_ifc converts formats. No two tools overlap in function; even get_sheets and get_views are explicitly differentiated in their descriptions.

Naming Consistency5/5

All tools follow a consistent revit_<verb> pattern in snake_case, with get_* for read operations and action verbs for other operations. The naming is predictable and uniform across the entire set.

Tool Count5/5

Eight tools is well within the ideal 3-15 range and appropriately matches the server's scope of Revit model ingestion, exploration, analysis, and export. Each tool earns its place without redundancy or bloat.

Completeness3/5

The tool set covers the core lifecycle (upload, read elements/parameters/sheets/views, run schedules, clash detect, export IFC), but there is no tool to check translation status or poll the manifest, which is referenced in descriptions but not provided. This is a notable gap that can cause agents to call read tools before translation completes, leading to failures.

Resources