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

Annotations already declare readOnly/idempotent/non-destructive, so safety is covered. The description adds real behavior beyond that: typo tolerance, that names are matched in the response language, that German native names are always accepted, and that counts are returned with ids.

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 dense sentences, front-loaded with the core behavior and followed by language-matching and return-value details. No filler or repetition of the tool 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, the description carries the return-value burden and does so (region ids, accommodation counts, usability as regionId). It is largely complete for a 4-parameter suggest tool, missing only note on empty/no-match results or how level interacts with suggestions.

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%, so the baseline is 3. The description adds semantics the schema does not state, notably that German native names (e.g. "Seenplatte") are always accepted regardless of locale and that matching language tracks the response language; limit and level are left to the schema.

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 and resource ('Suggest holiday regions by (partial) name') plus the distinguishing trait (typo-tolerant), which separates it from the accommodation siblings. It also names the downstream consumer, search_accommodations, so an agent can place it precisely.

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 description makes the workflow explicit: returned region ids are usable as regionId in search_accommodations, which tells the agent when this tool is the right entry point. It lacks explicit when-not guidance or a stated alternative name-resolution path, so it falls short of a 5.

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