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

No annotations are provided, so the description carries the full disclosure burden. It does not say whether this is read-only or mutating, does not mention the api_key credential requirement visible in the schema, and does not describe cost, side effects, or whether it modifies the input design.

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?

A single front-loaded sentence with no filler; the core action leads and the method options follow. Appropriately sized for a tool whose remaining detail should live in schema/annotations.

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?

An output schema exists, so return values need not be described. But with 5 parameters, 0% schema description coverage, and no annotations, the description is too thin for an agent to invoke the tool correctly with meaningful inputs.

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% across 5 parameters. The description only obliquely covers the 'method' parameter by naming the three strategies; 'data', 'response', 'factor_columns', and 'api_key' receive no explanation of expected format or role, so the description does not compensate for the coverage gap.

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 states a specific verb ('Select') and resource ('best model terms') and enumerates the three selection strategies, which is more than a tautology. However, it does not distinguish this from closely related DOE siblings such as covadoe_fit_rsm, covadoe_ridge_analysis, or covadoe_analyze, so an agent cannot route between them from the description alone.

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 when-to-use guidance, no prerequisite statement, and no mention of when one selection method is preferable to another or when to prefer this tool over the fitting/analysis siblings. The three method names are listed but not explained or tied to conditions.

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