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

With no annotations, the description carries the full burden. It discloses that the reading is 'SIGNED' and 'Never fabricated,' and notes it's a per-call paid x402 tool. It also reveals the data is 'live web-grounded.' It doesn't mention rate limits or side effects, but for a read-only oracle, key safety traits are covered.

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 description is a single, front-loaded paragraph that quickly states the purpose and lists expected outputs. It includes some marketing language ('The new SEO') and pricing info that could be trimmed, but overall it's efficient and scannable.

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?

Without an output schema, the description enumerates the key return components (presence, recommendation set, sentiment, share-of-voice, cited sources, visibility score). It also mentions the payment requirement, aiding invocation. It lacks error-case details, but for this scope, it's complete.

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%, with each parameter fully described (e.g., category drives the 'best <category>' query, competitors compute share-of-voice). The description reinforces these but adds no new semantic detail beyond the schema. 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?

The description clearly states the tool measures AI answer-engine visibility (GEO) for a brand/product, listing specific outputs. It distinguishes itself from sibling tools by positioning as an 'oracle' for live visibility rather than a generic score. The resource and intent are unmistakable.

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 provides explicit input scenarios (brand, optional category/competitors) and what the user receives. It doesn't explicitly mention when not to use or alternatives, but the niche is evident from the name and context. No exclusions are stated, but the use case is clear.

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