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

Annotations already declare readOnlyHint=true, destructiveHint=false, openWorldHint=true, so safety is covered. The description adds real behavioral context beyond that: it discloses the tool returns a composite of matched keyword performance plus untracked opportunity queries, not a plain GSC dump. It says nothing about pagination, freshness, or auth, but the annotation coverage lowers the burden.

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 sentences, front-loaded with the resource and scope, and no filler. The parenthetical "(matched)" labels the result class cleanly. Slightly dense but every clause carries information.

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, the description sensibly sketches what comes back (matched performance data and opportunity queries), which is the key missing piece. For a read-only, two-parameter tool with 100% schema coverage, little else is needed; only routing guidance to sibling tools is thin.

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% for both parameters, so site_id and the concise/detailed verbosity switch are already fully documented in the schema. The description adds no parameter-level meaning, which is the correct baseline of 3 when the schema does the work.

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 names a specific verb+resource (Google Search Console performance for tracked keywords) and details the two result sets: matched keywords with impressions/clicks/position, and untracked opportunity queries. It is distinguishable from generic siblings like get_gsc_queries or get_gsc_metrics, though it does not explicitly say how it differs from check_tracked_keyword_rankings or classify_tracked_keywords.

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?

"Use it to decide what pages/content to build" gives an implied purpose but no when-to-use/when-not guidance and no named alternative (e.g., get_gsc_keyword_candidates or content_opportunities). The agent must infer selection from context.

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