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

Annotations already communicate read-only, idempotent, non-destructive behavior, so the bar is lower. The description adds a useful non-obvious domain rule: each venue has its own activity band and a city's activity level cannot be used as a proxy. This helps avoid a plausible incorrect inference, though it does not cover response or pagination details.

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 two sentences with no filler. The first sentence states the result set and filter dimensions; the second adds a valuable caveat that prevents a common misinterpretation. It is front-loaded and every sentence earns its place.

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 read-only search tool with 7 fully documented optional parameters and no output schema, the description plus schema is nearly sufficient: it defines the qualifying property and the main filtering dimensions. The main gaps are the lack of explicit sibling routing and the unexplained product jargon, but these do not seriously impair invocation.

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 schema already documents all 7 parameters, so the baseline is 3. The description reinforces the main filter dimensions and adds semantic insight about the activity concept: venue activity is independent of city activity. This goes beyond the bare enum labels, though no new formatting or constraint details are introduced.

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 names a concrete resource (venues with a standing Vicinity room) and a clear retrieval behavior (find/filter by city, distance, activity, or free text). It is distinguishable from siblings like get_place or list_events, though it does not explicitly differentiate itself by name.

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 implies when to use the tool: when looking for venues matching certain filters. It does not explicitly state when to prefer this over siblings such as get_place, nor does it give exclusion conditions, so the guidance remains implicit rather than explicit.

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