ecb_policy_rates_and_inflation

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

No annotations are provided, so the description carries the full behavioral burden. It implies a read-only fetch by using "Fetch", but does not disclose authentication needs, rate limits, data freshness, return format, or how defaults affect results.

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 front-loaded sentence with no filler. Every phrase identifies a concrete data resource, and nothing is wasted.

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?

The tool has two schema parameters with 0% description coverage, no annotations, and no output schema. The description identifies the datasets but leaves out parameter usage, defaults, return shape, and operational behavior, which is insufficient for confident invocation.

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?

Schema description coverage is 0%, and the description does not mention either parameter by name. "Euro Area / EU country HICP annual inflation rates" vaguely hints at the inflationAreas parameter, but the default country list and valid codes are unexplained, and lastNObservations is entirely undocumented.

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 uses a specific verb ("Fetch") and names the exact data resources: Eurosystem key policy rates (DFR, MRR_FR, MLFR) and HICP annual inflation rates. This clearly distinguishes the tool from unrelated siblings like ecb_fx_rates or ecb_convert_invoices, though it does not explicitly route against those alternatives.

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 guidance, no exclusions, and no mention of alternatives such as ecb_fx_rates. The description says what data is fetched but gives no context on when an agent should choose this tool over sibling tools.

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