validate_ifc_model

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

With no annotations, the description carries the burden of disclosing behavior. It does mention the nature of the checks and the report format, which adds some transparency. However, it does not clarify whether the tool is read-only, what happens if the path is invalid, or whether the 'checks' parameter selects specific validation areas. Some key behavioral details are missing.

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 a single sentence that is concise, front-loaded, and free of fluff. Every word earns its place, efficiently conveying the core action, scope, and expected output.

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?

The description provides a high-level overview of the tool's function and output, which is adequate for a simple tool with an output schema. However, it lacks important contextual details such as how to use the optional 'checks' parameter, whether validation is comprehensive by default, and any file prerequisites. More guidance would improve completeness.

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 schema has 0% description coverage, so the description is the only source for parameter meaning beyond names/types. It lists validation areas (materials, properties, containment, naming) that likely correspond to valid values for the 'checks' parameter, which provides value. However, it does not explain the role of ifc_path or how the checks parameter behaves when null. The description partially compensates for the low schema coverage.

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 identifies the action ('Run QA/QC validation') and the resource (IFC model), and specifies the scope (materials, properties, containment, naming) and output (PASS/FAIL/WARNING report). This distinguishes it from sibling tools that focus on querying, statistics, conversion, or comparison.

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 does not state when to use this tool versus alternatives like query_ifc_elements or get_ifc_statistics. There is no mention of prerequisites, exclusions, or scenarios where validation is appropriate. The context is implied but not explicitly guided.

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