env_bafu_dataset_detail

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

Annotations already provide readOnlyHint, idempotentHint, destructiveHint false. Description adds specific behavioral context: returns complete metadata including download URLs, which complements annotations. No contradictions.

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?

Description is compact with clear sections: purpose, what it returns, use case, important notes, and args. Every sentence adds value. No fluff.

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?

For a detail retrieval tool, the description fully covers what the agent needs: metadata contents, pre-requisite, and return format. Output schema exists to supplement return values.

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?

Only one parameter (dataset_id). Schema description provides pattern, length, and example. Description repeats parameter definition but adds minimal new meaning. Schema coverage is good, so description is adequate but not additive.

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?

Description clearly states it retrieves full metadata and download URLs for a specific BAFU dataset. It lists returned items (title, description, resources, links, license, etc.) and distinguishes from sibling tool env_bafu_datasets which lists datasets.

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?

Explicit use case tag specifies when to use (full metadata for a concrete dataset) and important notes instruct to first get dataset_id via env_bafu_datasets. No ambiguity on when to use this vs alternatives.

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