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 states only that it recommends a design type from two inputs, without disclosing what design types are possible, what goal values are accepted, whether the recommendation is deterministic, or what role api_key plays.

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 wasted words. It is arguably too terse for a 3-parameter tool, but structurally it is clean and immediately states the core action.

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. However, with no annotations, 0% schema description coverage, and three parameters, the description omits necessary context about parameter meaning, usage conditions, and behavioral constraints, leaving the definition incomplete.

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 names 'number of factors' and 'goal' but adds no semantics such as valid ranges for n_factors, allowed goal values, or any explanation of api_key, leaving two of three parameters effectively undocumented.

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 ('Recommend') and resource ('design type') with the inputs ('number of factors and goal'). It is clear enough to distinguish from siblings like covadoe_create_design or covadoe_augment_design, but it never explicitly names or contrasts those alternatives.

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 gives no when-to-use or when-not-to-use guidance, and it does not mention any alternative tools. The only usage signal is implicit in the inputs ('based on number of factors and goal'), which is insufficient routing guidance among many covadoe_* design tools.

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