get_ai_tool_details

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

No annotations are provided, so the description carries the full burden. It describes return fields but does not explicitly state that the operation is read-only or non-destructive. While the name implies a retrieval operation, the description could be more transparent about side effects and safety.

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 concise and well-structured: a summary sentence, Args, Returns, and usage guidance. Every part adds value without redundancy, and it is front-loaded with the core purpose.

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 simplicity of the tool (one parameter, no output schema), the description fully explains the parameter, the return fields, and the usage context. It provides a comprehensive understanding of what the tool offers and when to use 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?

The input schema has only one parameter (slug) with no description. The description compensates by explaining that slug is from search_ai_tools results and provides examples ('chatgpt', 'midjourney'). This adds significant meaning beyond the schema, though format constraints are not specified.

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 the tool retrieves full details for a specific AI tool, including features, pricing, target audience, and USP. It explicitly differentiates from sibling tools like search_ai_tools by mentioning slug from search results, making the purpose distinct.

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 advises using the tool when the user wants deeper info before signing up, such as pricing breakdown and target audience. It implicitly guides that slug comes from search_ai_tools, but does not explicitly exclude other contexts or list alternatives.

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