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

Annotations already cover the safety profile (readOnly, idempotent, openWorld, non-destructive), and the description adds real value beyond them: the GSC connection prerequisite, a remediation URL for the user, and multi-account property resolution behavior. It does not disclose return granularity or pagination, but the auth/account context is substantive.

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?

Front-loaded with the core purpose in the first sentence, followed by usage, prerequisite, remediation, and account-resolution notes. Four sentences with little waste, though the integration-URL and multi-account sentences could be tightened.

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 correctly enumerates the returned metrics (clicks, impressions, CTR, position) and covers auth and multi-account edge cases, which is most of what an agent needs. Minor gaps remain around temporal granularity guarantees and cardinality of the daily series.

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 site, query, startDate and endDate are already documented with formats and examples in the schema. The description adds no further parameter meaning, so the 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 and resource ('Get daily click/impression/CTR/position trend for a specific search query') and the enumerated metrics make the output concrete. It implicitly distinguishes itself from get_gsc_page_trend and get_gsc_date_trends by scoping to 'a specific search query', but never names or contrasts those siblings 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?

Gives clear context for invocation ('track how a particular keyword's ranking and traffic evolves over time'), which tells the agent when this is the right lens. It stops short of stating exclusions or naming the alternative tools for page-level or all-query trends.

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