create_copula

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

No annotations are provided, so the description carries the burden. It discloses that the tool writes a formula and is exempt from the bulk-write guard, implying a write operation. However, it does not clarify side effects, permissions, or reversibility, leaving gaps.

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 two sentences, front-loading the core purpose. It is concise, but the second sentence about the bulk-write guard could be integrated better. Still, every sentence adds value.

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 complexity (6 parameters, 5 required, no param descriptions) and the presence of an output schema, the description is too sparse. It does not explain the input-output relationship or how to construct the parameters array, making it insufficient for an agent to use correctly.

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%, and the description provides no explanation for any of the 6 parameters (e.g., what 'parameters' or 'u_array_target_range' mean). The tool name and a single example do not compensate for the lack of parameter documentation.

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 'Build a copula formula' with a specific example (VoseCopulaMultiNormal) and its purpose (produce correlated u-array). It distinguishes itself from siblings like fit_copula_to_data by focusing on creation rather than fitting.

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 that copula tools are exempt from the bulk-write guard, providing a usage context. However, it does not explicitly guide when to use this tool versus alternatives (e.g., fit_copula_to_data) or any prerequisites.

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