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 add genuine behavioral context that structured fields do not: the flat 5-credit cost per successful run. However it omits the read-only nature, whether results are cached/static, and any rate-limit or auth considerations.

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 sentences, both front-loaded and non-redundant: the first defines the payload and its fields, the second gives the cost. No filler or restatement of the name.

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 and no parameters, the description is the only source of return-value information, and it delivers the field list. It is nearly complete for a simple enumeration call, though it doesn't state whether the tree is nested or flat beyond the field names.

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 nothing for the description to disambiguate; baseline 4 applies. The description correctly makes clear the call is parameterless by describing it as a full tree dump.

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 resource (the full Kleinanzeigen category tree) and enumerates exactly what each entry contains (id, name, alias, URL, parent id). An agent can distinguish this enumeration tool from the sibling listing/search tools without opening any schema.

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?

Usage is only implied: an agent can infer this is the lookup step to obtain category ids for run_kleinanzeigen_listings_search. There is no explicit when-to-use statement, no mention of the downstream tools that consume these ids, and no exclusions.

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