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

Annotations already declare readOnlyHint=true and destructiveHint=false, so "Changes nothing" mostly restates what the structured data provides. The description does add behavioral value by disclosing what the analysis surfaces (three distinct opportunity classes), but omits pagination, ordering, or how the three lists are returned. With annotations carrying the safety profile, a 3 is appropriate.

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 dense sentence with no filler; the opportunity categories are front-loaded and each clause carries information. The clause-packed enumeration is slightly heavy to parse but nothing is wasted.

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 no output schema and seven parameters, the description responsibly explains what the tool returns (three opportunity categories), which is the key unknown. It stops short of describing result ordering or grouping, but for a read-only analysis tool whose annotations and schema are otherwise complete, coverage is solid.

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 all seven parameters (days, fresh, limit, end_date, start_date, site_url, exclude_query_regex) are already documented in the schema. The description adds no parameter-level meaning beyond the schema, so baseline 3 applies.

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 ("Finds") and enumerates three concrete outputs: position 4-20 queries with realistic click gains, top-5 queries with low CTR, and question-shaped queries. This is far more specific than a generic 'search console data' tool. However, it never names a sibling (e.g. search_console_performance or search_console_summary), so an agent must infer the boundary from the output description alone.

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?

"Finds where more organic clicks are within reach" implies the use case (diagnosing growth opportunities) but there is no explicit when-to-use framing, no when-not, and no named alternative such as search_console_performance for raw metrics. Usage is only implied by the output categories.

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