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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered. The description adds real behavioral value beyond that: the join semantics across two data sources, the degraded mode without Search Console, and diagnostic flags such as clicks Analytics never records. It does not mention auth, rate limits or pagination, but the additions are meaningful.

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?

Opens with the core operation and keeps the value proposition front-loaded. The remaining sentences each carry distinct diagnostic or use-case information, though the description is dense and runs long relative to what most agents need to disambiguate the call.

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 an output schema present, return values need not be explained, and annotations cover the safety profile. The description supplies the join behavior, the fallback condition, and the intended analytical scenarios, leaving no essential gap for correct invocation.

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 six parameters (dateRange enum, startDate/endDate, pathContains, rowLimit, projectId) are already fully documented in the schema. The description adds no parameter syntax or format detail beyond what is structured, making the baseline 3 appropriate.

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 and pins down the scope precisely: per-page SEO funnel joining Search Console clicks/impressions/position with Analytics sessions, engagement, key events and revenue. This clearly distinguishes it from siblings like get_search_console_performance and get_analytics_report, which each cover only one half of the join.

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 when-to-use context ('best starting point for SEO prioritization, content audits and client reporting') and names concrete analytical intents. It also discloses a degraded operating mode ('works with Analytics alone if Search Console isn't connected'). It stops short of naming the sibling alternatives it competes with, so it is not a full when/when-not/alternatives treatment.

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