データセットのリソース一覧

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 indicates the tool returns resources and hints, but does not disclose potential side effects, permissions, rate limits, or whether the list is exhaustive. Basic transparency, but lacks deeper behavioral context.

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?

Single sentence is concise and clear, but could be more structured (e.g., separating resource types and hints). No wasted words.

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 tool has one parameter, no output schema, and no annotations, the description adequately covers the purpose and output. Could be improved by specifying if resource IDs or names are returned, but it is sufficient for a simple list tool.

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% with dataset_id described. The description adds meaning beyond the schema by stating that the tool returns CSV/Excel resources and data acquisition hints, clarifying the output scope.

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 'データセットに含まれるCSV/Excelリソースと、データ取得のためのヒントを返します' which specifies the verb (返す/return), resource (CSV/Excel resources in dataset), and distinguishes it from siblings search_datasets and get_dataset by focusing on listing resources within a dataset.

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 when you need to know the resources in a dataset, but does not explicitly state when to use or not use this tool versus siblings, nor provide context or alternatives.

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