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

No annotations are provided, so the description carries the behavioral-disclosure burden. It usefully states the aggregated return categories and that results are limited to states the key can read, which is important permission-scoping context. It does not describe freshness, caching, rate limits, or error behavior, so it remains only moderately transparent.

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 short, front-loaded with the core action, and then lists the returned aggregates. Every sentence contributes useful information with no repetition or 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?

An output schema exists, so the description need not fully explain return structure. The description still summarizes the returned metrics and notes the key-based state restriction, which is sufficient for a parameterless read tool. Minor usage-guidance gaps remain, but the core context is 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?

The tool takes zero parameters, so there is no parameter semantics burden and the baseline is 4. The schema is empty and consistent with a parameterless aggregate endpoint.

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 states a specific verb and resource: retrieving aggregated market statistics for German foreclosure auctions. It also enumerates the metrics returned, making the tool clearly distinct from auction lookup and search tools. However, it does not explicitly name sibling tools or contrast itself with them.

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 use case is implied: aggregated statistics rather than individual auction retrieval. An agent can infer this is for market overview, but the description does not explicitly say when to choose it over search_auctions or get_auction, nor does it state exclusions.

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