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

Annotations already declare readOnly and open-world access, so the safety profile is covered; the description goes further by naming the upstream sources (official statement text with link, ECB Data Portal, FRED) and the temporal coverage boundary. It also pre-empts a likely misinterpretation by explaining that 'not_yet' is not a broken promise, which is behavioral context an agent could not derive from annotations. It stops short of describing result volume or ordering.

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?

Three sentences, front-loaded with the core comparison, followed by sourcing and then the verdict taxonomy. The heavy parentheticals ('exact quote from the official statement, with link', 'official data: ECB Data Portal, FRED') make it dense but each clause carries real information. It is appropriately sized for a no-parameter tool.

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?

With no output schema, the description has to convey what comes back, and it does: a quoted signal with link, the ensuing action with official data provenance, and a verdict label drawn from a closed set. The coverage window since 2024 is also stated. For a zero-parameter read tool this is close to self-sufficient, with only result size and ordering left unspecified.

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 takes zero parameters, so there is no parameter meaning to add and the baseline applies. The description correctly implies a single fixed query over the ECB and Fed rather than suggesting any configurable filtering that does not exist.

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 a specific comparison: official ECB/Fed statements about next steps versus what they actually did at the following rate decision, and enumerates the verdict vocabulary (followed, not_yet, opposite, no_promise). That is far more than a restatement of the name. It doesn't explicitly position itself against sibling tools, but the subject matter is distinct enough that confusion is unlikely.

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?

There is no when-to-use or when-not-to-use guidance and no named alternative. The only scoping statements are content constraints ('Institutions only', 'Rate changes since 2024 included'), which describe what the data covers rather than when an agent should call this instead of another tool. Usage must be inferred from the purpose sentence alone.

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