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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint, covering safety and idempotency. The description adds the cost of $0.01 USDC via x402 and clarifies the output is a similarity key, providing context beyond the annotations. No contradictions with annotations.

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 four sentences with no fluff. The core function is front-loaded, followed by the interpretation of the key, the ideal use case, and the cost. Every sentence contributes value, making it well-structured and efficient.

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?

For a simple 2-parameter tool with no output schema, the description adequately covers purpose, use case, and cost. It explains the meaning of the output key and provides practical context. The main gap is a lack of explicit output format or error conditions, but annotations and simplicity mitigate this.

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% for both 'company' and 'fullname' parameters. The description only restates the combined nature of the two inputs without adding new semantics such as formatting, length constraints, or relationship between parameters. Since baseline is 3 for high coverage, this 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 uses a specific verb 'Generate' and identifies the resource as a 'combined similarity key' derived from a company name plus full name. It explicitly explains the output's meaning and clearly distinguishes from sibling tools like interzoid_fullname_match and interzoid_company_match_advanced by emphasizing the combined nature.

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 a clear use case ('Ideal for contact-level deduplication within CRM, marketing, and sales datasets') and implies when to use it via the combined key concept. However, it does not explicitly name alternatives or state when not to use it, leaving some inference to the agent.

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