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

No annotations are provided, so the description carries the full behavioral-disclosure burden, but it does not describe side effects, permissions, return shape, or whether the tool retrieves, generates, or formats anything. It only vaguely says the output includes a prompt, usage guide, and edge-case handling, which is insufficient for safe selection.

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 short, but it is front-loaded with generic slogans rather than the tool's actual function. Its length is appropriate, yet the sentences are mostly marketing and do not earn their place as operational guidance.

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?

The tool has a simple one-parameter schema and no output schema, so the description needs to explain what the tool actually does and returns. It instead stays at a promotional level and never clarifies the operation, leaving the definition incomplete for an agent deciding whether to invoke it.

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 100%, and the only parameter is already documented as an optional query to scope the analysis. The description adds no additional meaning about the query parameter, so the baseline of 3 applies.

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 relies on marketing phrasing such as "Turn expertise into output" and "produce professional results in minutes" rather than naming a concrete operation and resource. "Prompt pack" hints that it may return a template, but it does not distinguish this tool from siblings like dt-arch-gen-tool or dt-arch-check-tool.

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 alternatives named among the many sibling tools. The target audience mention ("restaurant and brand teams") does not tell an agent when to select this tool over dt-arch-check-tool or dt-arch-gen-tool.

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