Compare Dimensions

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

No annotations are provided, so the description carries the full behavioral burden. It does disclose useful behavior: null values skip an axis and tolerances use the larger bound. However, it does not state whether this is read-only, whether it compares against actual project data, what happens on mismatch, or any authorization requirements.

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, front-loaded sentence with no filler. Every clause adds meaningful information: comparison target, units, null handling, and tolerance behavior.

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?

Despite having an output schema and nested input structure, the description omits key context: the object of comparison, how to determine pass/fail, and how the two tolerance modes interact. With no annotations and zero parameter descriptions, this is not enough for a reliable call site.

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?

Schema description coverage is 0%, so the description must compensate. It mentions null axis behavior and the tolerance rule, which helps, but it never explains project_id, the relationship between tolerance and percent_tolerance, or what expected_dimensions represents beyond the schema. The parameter semantics are therefore only minimally clarified.

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 uses a specific verb ('Compare') and resource ('X/Y/Z in project units'), and the tolerance/null details make the intended operation fairly clear. However, it never states what the dimensions are compared against (e.g., actual model dimensions), so the core comparison target is left implicit.

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?

There is no guidance on when to use this tool versus alternatives, and no mention of related operations like check_printability or validate_scad. The agent must infer usage from the name and context rather than from explicit direction.

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