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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety is covered by structured data. The description adds nothing on top: no mention of pagination limits, result caps, or what the dataset returns, even though the underlying schema carries those constraints.

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?

A single short sentence with no filler, and the core concept is front-loaded. It is efficient, though the extreme brevity borders on under-specification rather than tightness.

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 8 parameters, an output schema, and three directly adjacent siblings (search/item/facets), the description should at minimum clarify its niche against datasets_google_map_search. It leaves that entire distinction implicit, so the definition is incomplete for its context.

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 baseline is 3; every parameter (lat/lon ranges, radius_m bounds, category, min_rating, paging limits) is fully documented in the schema. The description contributes no additional parameter meaning beyond 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+resource combination ('nearby search over the Google Maps businesses dataset'), so the operation is identifiable. However, it never distinguishes itself from the closely named sibling datasets_google_map_search, leaving the agent to guess which one is geo-scoped and which is keyword-scoped.

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?

No when-to-use guidance at all: nothing says this is the proximity/radius entry point versus datasets_google_map_search, datasets_google_map_facets, or datasets_google_map_item. The required lat/lon/radius_m hints at geo search, but the description itself provides no routing context.

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