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

No annotations are supplied, so the description carries the full disclosure burden, and it discloses almost nothing about behavior. The only concrete hint is that the result contains a prompt, usage guide, and edge-case handling, but it never states what the tool actually executes, what it costs, or what the caller receives.

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?

Three short sentences that are concise in length but not in value: they are promotional copy ("produce professional results in minutes") rather than front-loaded functional information. The smallest amount of space is spent on the least useful content.

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?

With no annotations and no output schema, the description is the only source of behavioral and return-value information, and it leaves the actual output undefined beyond "prompt pack." For a tool intended to be invoked by an agent, that is not enough to call it confidently.

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?

The single optional "query" parameter is fully documented in the schema (100% coverage), so the baseline is 3. The description adds no meaning about how the query scopes or influences the generated prompt pack.

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?

"Turn expertise into output" and "api gen tool prompt pack" restate the tool name in marketing language without naming a concrete operation, resource, or output format. An agent cannot tell from this text whether the tool generates API code, returns a reusable prompt, or produces a usage document.

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 prerequisites, and no routing against the obvious siblings dt-api-check-tool and dt-api-tpl-tool. The sentence about containing a "usage guide" describes the payload, not when an agent should select this tool.

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