analyze_model_statistics

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

With no annotations provided, the description bears full responsibility for behavioral disclosure. It implies the tool is read-only but does not explicitly state that, nor does it describe potential side effects, performance implications, or output format. The mention of a 'ctx' argument not present in the schema adds confusion.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is brief with two sentences and an unnecessary 'Args' line. The core purpose is clear and front-loaded, but the redundant argument mention wastes space.

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

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

Given the lack of an output schema, the description should specify the structure of the return value (e.g., dictionary of categories to counts). It only says 'element counts grouped by category,' which is vague. Compared to siblings like get_revit_model_info, it lacks details on what exactly is returned.

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

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

The input schema has no parameters, so schema coverage is 100%. However, the description includes an 'Args' line referencing a 'ctx' parameter that does not exist in the schema, which could mislead an agent. For a zero-parameter tool, the description should not introduce phantom parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool analyzes the Revit model and returns element counts grouped by category, with examples like walls, doors, windows. However, it does not differentiate itself from sibling tools such as get_material_quantities or get_revit_model_info, which also provide model analysis.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description mentions it is useful for progress tracking and model health checks, providing context for when to use it. However, it lacks explicit guidance on when not to use it or how it compares to alternatives.

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