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

readOnlyHint already establishes this is a safe read, so the bar is lower, and the description adds genuinely useful interpretive behavior: half-credit for list/citation/source-title-only mentions, older results retaining their recorded basis, overlapping flag types, and the important caveat that 'Unavailable is not a negative result.' It omits any note on freshness, auth scope, or how often scores update, but the added semantics are substantial.

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?

The first sentence front-loads the payload well, but the remainder runs to seven more sentences of glossary-style definitions (Named/Cited/Listed/Found via search) that read as documentation for return values rather than selection guidance. Much of it is defensible domain semantics, yet the block is dense and repetitive for a description, so it is adequately sized but not disciplined.

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 carries the burden of explaining what comes back, and it does so thoroughly: score composition, subscores, prior-week comparison, and the meaning of each positive-result type. The main omission is usage/routing context rather than return-value context, so the description is close to complete for a zero-parameter read tool.

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?

The tool takes zero parameters, so per the rubric the baseline is 4. The description does not need to compensate for any schema gap, and it correctly avoids inventing parameter behavior for a no-arg call.

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 (latest AI Visibility and AI Readiness scores for areyoufoundbyai.com) and enumerates exactly what comes back: prior-week scores, the off-site Footprint score, and five named subscores. That is far more concrete than a restated title. It does not, however, distinguish this from close siblings such as get_regional_visibility or get_share_of_voice, so it stops short of a 5.

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?

There is no when-to-use statement, no exclusion, and no mention of any alternative tool. With 19 sibling get_* tools covering visibility-adjacent data (regional visibility, share of voice, citations, mentions), an agent gets no routing help at all. The body instead defines scoring vocabulary, which is interpretation guidance rather than selection guidance.

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