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

Annotations already establish read-only, idempotent, non-destructive behavior. The description adds behavioral value beyond those flags: it says the checksums are 'declared' rather than verified, the URLs are 'canonical' and direct, and the tool 'never proxies' bytes. No contradiction with annotations.

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?

Two focused sentences, with the primary result front-loaded and the key non-behavior stated immediately after. Every clause earns its place.

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?

With no output schema, the description should describe not just the high-level return content but enough about the optional parameters and expected result structure to support correct invocation. It does not explain group, leaves format semantics ambiguous, and does not relate this tool to verify_checksum, leaving gaps in a simple but incompletely specified API.

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 only 33% (only dataset is explained), and the description adds no parameter-level meaning for group or format. While format has an enum and default in the schema, its purpose and the meaning of 'any' are not clarified, and group is entirely unexplained.

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 names a specific operation ('Return canonical direct download URLs and declared SHA-256 values') on a specific resource ('a public dataset') and adds a sharp boundary ('never proxies the dataset bytes'). This distinguishes it from sibling metadata/list/search tools even without naming them.

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 text implies the tool is for retrieval of direct download URLs and checksums, but it does not explicitly state when to prefer it over siblings such as verify_checksum, nor does it state exclusions like 'use only for public datasets' or 'do not use to fetch file contents.' Usage context is clear but guidance is implied, not explicit.

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