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

Annotations already cover safety (readOnly, idempotent, non-destructive). The description adds real behavioral value beyond them: the defaults ('trailing 28 days'), the auth precondition ('Needs Search Console connected'), the cost ('Free'), and what is returned (clicks, impressions, top queries).

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?

Purpose is front-loaded, followed by interpretive context, defaults, and preconditions in a compact block. Every sentence carries information, though the trailing 'Free' fragment is slightly abrupt in structure.

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 steps in to describe the return contents (clicks, impressions, top queries per side) and the default range. Combined with the schema-covered parameters and annotations, an agent has nearly everything needed, with only alternative-tool routing left implicit.

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 coverage is 100%, so all four parameters are already documented. The description reinforces the date-range semantics and default window but adds no syntax or format detail the schema lacks, so the baseline of 3 is 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 ('Splits Google Search Console queries into branded... and non-branded'), defines branded parenthetically, and names the metric content on each side. An agent can distinguish it from get_traffic, get_seo_snapshot or get_rankings without opening the schema.

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?

It implies when the tool matters ('Non-branded growth is the clearest sign Blawgy content is working') and gives preconditions (GSC connected, free). However it never names an alternative sibling (e.g., get_traffic, get_overview) or an explicit when-not to use it, so routing still requires inference.

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