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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint false, which cover safety. The description adds value by specifying the returned fields (ID, name, symbol, etc.) and providing real-world examples (Zenodo, figshare), giving agents a concrete sense of output. No behavioral contradictions; it complements the 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?

The description is front-loaded with purpose and returns, then adds a practical usage note and examples. The examples are illustrative but add length; still, they are not redundant. It is efficiently structured without wasting 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 presence of an output schema (not required to explain return values, but does anyway), pagination parameters in the schema, and the clear use-case linkage to datacite.doi.search, the description covers all necessary context. It explains what the tool returns, how results can be used, and even includes examples to guide the agent.

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?

The schema fully documents all three parameters (page, limit, query) with descriptions, so the description adds little beyond restating 'by name or keyword' for query. Since schema coverage is 100%, the baseline of 3 applies; the description does not enrich parameter meaning significantly.

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 states a specific action ('Search'), a precise resource ('DataCite member repositories'), and clarifies that these are called 'clients'. It enumerates the exact return fields (ID, name, symbol, description, URL, DOI count) and gives concrete examples, making the tool's purpose unmistakable and differentiating it from DOI-centric siblings like datacite.doi.search.

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 when to use this tool by explaining that repository IDs can feed into datacite.doi.search to filter results. This cross-reference gives context, but it does not explicitly state when not to use this tool or compare it with other search tools. However, the tool's name and description make its intended use clear.

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