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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds no behavioral context beyond that — nothing about time-range semantics, engine coverage, data freshness, or what the comparison returns.

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 no filler or repetition. It is well-formed, though its brevity comes at the cost of the missing detail noted elsewhere.

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 tool with fully undocumented schema fields, an enum set of seven engines, no output schema, and several overlapping sentiment siblings, one sentence of description is insufficient. An agent lacks enough to invoke it correctly or route to it reliably.

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 must carry the burden, but it only obliquely gestures at the 'rival' concept ('its rivals'). Required projectId/siteId, the from/to date range, and the singular 'engine' vs. plural 'engines' distinction are all unexplained.

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 clear verb ('compare') and resource (how favorably AI answers describe brand vs. rivals), which is more specific than a bare name restatement. However, it does not distinguish itself from close siblings like get_ai_sentiment_overview or get_ai_sentiment_driver, leaving the agent to guess which sentiment tool yields the benchmark view.

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 prerequisites (e.g. brand/competitor setup requirements), and no routing to or away from the sibling sentiment and AI-visibility tools. The agent must infer usage 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.