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

Annotations already mark the tool readOnly, idempotent, and non-destructive; the description adds useful behavioral context: equivalent company names produce the same canonical key, and there is a $0.01 x402 cost. It doesn't describe the return format or rate limits, but with these annotations that gap is minor. No contradiction.

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?

Three short, front-loaded sentences with no redundancy; every sentence earns its place: function, illustrative equivalence behavior, and cost.

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 one-parameter, annotation-rich tool, the description provides core purpose, an illustrative equivalence example, and pricing. It lacks explicit routing against sibling tools and a statement of the exact return payload, but the low complexity and readOnly/idempotent hints keep this from being a serious gap.

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 the schema already documents the `company` parameter. The description's examples ('IBM', 'International Business Machines', 'IBM Corp') reinforce acceptable input variants but don't add format constraints or defaults beyond what the schema provides.

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?

Description uses a specific verb ('Generate') with a concrete resource ('similarity key') and scope ('company/organization name matching'). It clearly communicates the tool's output and example equivalence, but it doesn't explicitly distinguish itself from similar sibling matching tools like interzoid_org_standard or interzoid_org_match_score.

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 states a use case ('deduplication and record linkage'), which gives some context, but it never says when to prefer this tool over nearby siblings or provides exclusions. Usage guidance is therefore implied rather than explicit.

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