hu_fin_about

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

There are no annotations, so the description carries full weight for behavioral disclosure. It explicitly lists the return content (version, data source, tool list) and implies a read-only, safe operation. No contradictions or hidden traits exist.

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 one concise sentence with no unnecessary words. It front-loads the action and resource, then lists the contents, making it efficient and easy to parse.

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 simple metadata endpoint with no output schema, the description fully specifies what the tool returns. Listing version, data source, and tool list gives the agent complete expectation of the response, making the description contextually complete.

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, so the description needs to add no parameter semantics. The baseline score of 4 applies, as there is nothing to document and the schema is trivially complete.

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 clearly states 'Return metadata about this MCP server' with a specific verb and resource, and enumerates what is included (version, data source, tool list). This distinguishes it from sibling tools which focus on regulations, sourcebooks, enforcement, and currency.

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 makes it clear the tool is for server metadata rather than domain queries. While it doesn't explicitly state alternative tools, the purpose is unambiguous and distinct from siblings, so an agent can easily infer when to use this tool.

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