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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety/scope profile is covered. The description usefully discloses the output taxonomy (owned properties, entity profiles, Maps locations, mentions, PAA), which adds context beyond the annotations, but says nothing about rate limits, cost, or fetch behavior.

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 tight sentences, front-loaded with the audit purpose and followed by the result breakdown. No filler, though the second sentence is a bare list that could have carried parameter or usage guidance instead.

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 7-parameter, output-schema-less tool, the description covers the return categories but leaves every non-required parameter undocumented, including non-obvious defaults and locale controls. An agent can call it with just 'company' but cannot use the tool well.

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 0% across 7 parameters, so the description carries the full burden and fails it. It never explains gl/hl, depth, fresh, domain, or the surprising defaults (gl='ae', location='Dubai'), leaving the agent to guess at locale and scope semantics.

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 uses a specific verb ('Audit') plus well-defined resources (SERP footprint, brand reputation, owned domains, entity profiles) and enumerates the result categories. This distinguishes it reasonably well from generic siblings like google_serp, though it never names the alternatives explicitly.

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?

It states what the tool returns but gives no when-to-use context, no prerequisites, and no indication of when to prefer it over google_serp, ai_answers, or geo_citation_radar. The agent must infer the choice entirely.

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