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

With no annotations, the description carries the full burden and does meaningful work: it warns that a passed date does not confirm publication, and that related series readings are current stored values that may have been revised and are not verified against the originally published figure. That is exactly the kind of caveat an agent needs. It omits operational behavior (auth, pagination/limit semantics, return shape), which keeps it from a 5.

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 what the tool returns and followed by the caveats that qualify that data. No filler or restated name, though the second and third sentences are dense and could be tightened slightly.

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 six-parameter, no-annotation, no-output-schema tool, the description supplies the important semantic caveats but leaves gaps: nothing on how filters combine, what the calendar entries/limit produce, or the relationship to sibling data tools. Adequate rather than 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?

Schema description coverage is 100% (all six params documented, including defaults and enum value hints), so the baseline of 3 applies. The description adds no meaning about from/to, country, institution, or report_type beyond what the schema already states.

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 opening phrase states the resource precisely — institutional release schedules with primary source URLs — so an agent knows this returns an economic-calendar dataset, distinct from the data-retrieval siblings. It stops short of an explicit verb (list/get) and never names a sibling to differentiate against, so it is clear but not maximally so.

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 statement, no prerequisites, and no alternative named (e.g., use get_economic_data for the actual readings rather than the schedule). The caveats are about data reliability, not about when this tool should be selected, so guidance is effectively absent.

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