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

With no annotations, the description carries the full burden, and it discloses meaningful behavior: the data provenance (measured at the site's own server from logs), the required instrumentation (Worker, plugin, log drain, or uploaded logs), and the comparison behavior against the previous period or last year. It stops short of stating read-only status, auth/rate-limit specifics, or what happens when a site lacks the required setup.

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 and there is no filler, but the opening sentence is a long run-on enumerating nine output types. The final two sentences (comparison behavior, setup requirements) each earn their place, so the size is defensible even if the first sentence could be split.

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?

There is no output schema and no annotations, so the description must explain both the return shape and behavioral context — and it does list the returned data categories (per-platform visits, AI answer reads, top landing pages, unvisited-but-read pages, orders, unusual days, alerts, summary) plus the setup prerequisite. Minor gaps remain around permissions and edge cases when instrumentation is missing.

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 every parameter (domain, from/to, days, page, platform, compare) is already documented in the schema. The description mentions comparison modes and per-platform breakdowns in prose, which loosely maps to the compare and platform params but adds no format or constraint detail beyond the schema. 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 resource and activity: AI traffic for a site measured at its own server, with an enumerated set of outputs (visits per assistant, AI answer reads, top landing pages, orders from AI visitors, alerts, summary). It is clearly distinguishable from siblings such as citerank_analyze_url or citerank_check_brand_citations, which are page- or brand-scoped rather than traffic-analytics.

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?

The description states a prerequisite for use (needs the Citerank Cloudflare Worker, WordPress plugin, log drain, or uploaded logs on the site), which is genuine when-to-use context. However it never names an alternative sibling or a condition that selects this tool over, say, check_brand_citations, leaving comparison to inference.

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