lu_dp_about

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. For a metadata/about tool, the description clearly states what it returns (version, data source, coverage, tool list), which is effectively the behavioral contract for a read-only introspection tool. This is adequate disclosure for an about endpoint that doesn't mutate state or have side effects.

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 a single concise sentence that covers exactly what the tool returns with no wasted words. Front-loaded with the verb 'Return' and immediately enumerates the metadata categories. Every phrase 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?

This is a zero-parameter about/metadata tool with no output schema, which makes it low complexity. The description enumerates the four categories of metadata returned (version, data source, coverage, tool list), which is sufficient for an agent to know what information it will get. No additional context about return format is strictly needed for such a simple introspection 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?

The tool has zero parameters and the schema coverage is 100% (trivially, since the schema is empty). With no parameters to explain, the description has nothing to add beyond what the schema shows. Baseline 4 applies for zero-parameter tools.

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 verb ('Return') with a specific resource ('metadata about this MCP server') and enumerates the exact categories of data returned (version, data source, coverage, tool list). It clearly distinguishes itself from sibling research/retrieval tools (get_guideline, list_topics, search_guidelines) by being about the server itself rather than its domain content.

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 does not explicitly state when to use this tool versus alternatives. However, the purpose is self-evident: an 'about' endpoint is for server metadata, clearly distinct from sibling content-query tools. The usage context is strongly implied by the tool's nature, though no explicit alternatives or exclusions are named.

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