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 does disclose a meaningful behavioral trait — results are scoped to the 'current data window' — but says nothing about freshness, caching, auth, or rate limits, and gives only partial hints about the returned aggregate structure.

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?

Two short sentences, front-loaded with the operation and its dimensions. The bracketed source/license tag is compact and informative rather than filler.

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 parameters, no annotations, and no output schema, the description nonetheless communicates what is aggregated and the scope of the aggregation. Only the shape/format of the returned counts remains unspecified, which is a minor gap for a stats read.

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 the baseline of 4 applies; there is no parameter semantics to add. The listed dimensions are output facets rather than inputs, and the description correctly does not pretend otherwise.

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?

States a specific verb ('Aggregate counts') plus the exact dimensions aggregated (type, category, Bundesland, CPV division) and the domain tag '[German public procurement]'. That is enough to distinguish it from tender_search_notices and from the same-shaped mastr_get_stats, though the description never names a sibling explicitly.

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 routing to the alternative (tender_search_notices). 'Over the current data window' hints at scope but gives no condition for picking this tool over a search.

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