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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds value beyond them by stating the response is the publisher's raw JSON and is capped at 2 MB, which affects how an agent should plan a call. It omits auth requirements and error behaviour.

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 tight sentences with no filler; the capability and its read-only/size constraints come first and the prerequisite tool hint follows. Every clause carries information.

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?

There is no output schema, so the description appropriately describes the return value (publisher JSON, 2 MB cap) and the prerequisite lookup. For a read-only, annotated fetch tool this is largely complete, though failure modes and rate limits are unstated.

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 50%: 'params' and 'source' are documented in the schema, while 'publisher' and 'dataset' have no descriptions. The description partly compensates by clarifying that these are names discoverable via browse_marketplace, but it says nothing about the nested query-parameter object or accepted formats.

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 gives a specific verb and resource: it calls a contributed dataset's live API through datosmcp and returns the publisher's JSON response. It is easy to distinguish from discovery tools like browse_marketplace, but it does not clarify how it differs from near-neighbours such as query_data or search_data, which also retrieve data.

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?

It explicitly tells the agent to use browse_marketplace first to obtain the publisher, dataset and source names, which is a concrete prerequisite for a call whose three required parameters are identifiers. There is no when-not-to-use guidance or mention of alternatives to this tool itself.

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