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

No annotations are provided, so the description carries the full burden. It discloses the return format ('as markdown') and enumerates the substantive content areas covered, which is useful behavioral context. It does not explicitly state that the operation is read-only or static, but that is strongly implied by a documentation getter.

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?

A single dense sentence is front-loaded with the core purpose and then lists the covered topics and output format. There is no redundant or filler text.

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 a zero-parameter documentation tool with an output schema, the description is complete enough: it tells the agent what the markdown contains and that citation format is included. No additional parameter or return-value explanation is needed.

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?

There are zero parameters, so the baseline is 4. The description correctly implies that no inputs are needed to retrieve the methodology.

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 the exact resource (the methodology for how the EMpulse Street FX Index is computed) and specifies its scope: components, confidence classes, outliers, revisions, coverage rules, and citation format. It is unmistakably a documentation tool and clearly distinct from the sibling data-retrieval tools.

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 implicitly tells the agent this is the place to learn computation details and citation format, but it never states when to use it versus alternatives or when not to use it. For a zero-parameter documentation endpoint, the intended use is easy to infer, but explicit routing guidance is absent.

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