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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds nothing further: no pagination cap behavior, no note about null ratings/closure semantics, no indication of what the result set looks like. With annotations present the bar is lower, but a one-line description for a 21-parameter query tool still leaves behavior undisclosed.

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 front-loaded sentence with zero padding, which is efficient. It is arguably undersized for a 21-parameter tool, but there is no wasted text to trim.

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 21-parameter, zero-required search tool with multiple dataset siblings, a single generic sentence is not enough. An output schema exists so return values needn't be explained, but the absence of any guidance on scope, sibling routing, or filtering interplay leaves the definition incomplete.

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 every parameter is already documented in the schema, and the description adds no additional meaning (no query syntax, no interaction rules between lat/lon/radius). Baseline 3 applies when the schema does the heavy lifting.

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 (Search) and resource (Google Maps businesses dataset), so an agent knows this is a full-text/filter query over that dataset. It does not, however, distinguish itself from siblings like datasets_google_map_nearby or datasets_google_map_facets, which is the mark of a 5.

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?

There is no when-to-use guidance, no mention of when to prefer the nearby or facets siblings, and no prerequisites or exclusions. The agent is left to infer the routing from the name alone.

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