cubism_get_parameter_structure

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

No annotations are provided, so the description carries the full burden. It merely states what is returned but does not disclose behavioral traits such as read-only nature, cost, side effects, or authentication requirements. The description is too brief for a tool with no annotations.

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 extremely concise with two sentences, front-loading the purpose immediately. No redundant information.

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 that an output schema exists (so return values need not be described), and there is only one parameter, the description is sufficiently complete. It could mention that it is a read operation, but overall it covers the essentials.

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?

There is only one parameter, and the schema description coverage is 0%. The description adds value by explaining what model_uid is and how to obtain it (via cubism_get_model_uid), going beyond the schema's generic 'Model Uid' title.

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 that the tool retrieves the complete parameter structure tree, including groups and parameters with Min/Default/Max/KeyValues. This distinguishes it from sibling tools like cubism_get_parameters or cubism_get_parameter_groups that likely return subsets.

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 explicitly state when to use this tool versus alternatives. It mentions a prerequisite (model_uid via cubism_get_model_uid) but lacks guidance on when to choose this over siblings like cubism_get_part_structure or cubism_get_deformer_structure.

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