list_directory_v1_directories_get

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

With no annotations, the description adequately discloses caching (5 minutes), refresh capability, and the analysis/suggestion feature. It could mention rate limits or authorization, but for a public GET endpoint, it's reasonably transparent.

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 well-structured with sections for endpoint, behavior, suggested actions, caching, and args. It is slightly verbose but each part adds value.

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?

Without an output schema, the description partially covers return fields (suggested_action) but does not detail the full response structure, such as the list of files and directories. Could be more complete.

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 coverage is 100%, so baseline is 3. The description adds that url must be a valid HTTP/HTTPS URL and explains refresh, but also mentions a 'request' parameter not in schema, which may confuse.

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 it lists and analyzes a web directory, parsing content and suggesting next actions. It distinguishes itself from sibling tools like discover_datasets by focusing on any web directory URL.

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 implies usage for listing directories and mentions caching behavior, but does not explicitly state when to avoid using this tool or compare to alternatives like discover_datasets or search_datasets.

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