NoBounce Email Validation

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

No annotations exist, so the description carries the full behavioral burden. It usefully discloses the validation layers performed (syntax, MX, disposable lists, role accounts, webmail, typo suggestions, SMTP) and marks the handshake as optional, but says nothing about latency/cost, rate limits, permissions, or error behavior for malformed input.

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?

A single sentence with the purpose front-loaded before the check list, so nothing is buried. The seven-item enumeration is slightly listy but each item adds discriminating scope, so it mostly earns its place.

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 low-complexity two-parameter validator with no output schema, the description conveys enough to call it correctly and understand what work it performs. It stops short of hinting at the result shape or the added latency/cost of the SMTP handshake.

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% and both parameters are documented in the schema, so the baseline is 3. The description's mention of an 'optional SMTP handshake' only restates what the smtp_check parameter already says.

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?

Specific verb ('Validate') plus resource ('a single email address') with the scope qualifier 'single' that directly separates it from the sibling validate_emails_bulk. The enumerated check categories further pin down what validation means here, so an agent can identify the tool without opening the schema.

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 word 'single' implies the bulk sibling handles multiple addresses, but the alternative is never named and no explicit when-to-use or when-not-to-use condition is stated. Usage is inferable from scope rather than guidance.

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

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

With no annotations, the description carries the full behavioral burden. It usefully discloses the 1,000-item batch cap and the shape of the response (per-email results plus summary counts), but says nothing about rate limits, cost, partial-failure behavior, or what happens when the batch exceeds the cap.

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?

Two sentences, zero filler, and the batch scope is front-loaded before the return-value summary. Every clause earns its place.

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, so the description responsibly enumerates the summary categories returned (valid, invalid, disposable, catch_all, unknown) and the batch ceiling. The remaining gap — error handling, rate limits, and auth expectations for an external API — keeps it short of a 5.

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 both parameters (emails, smtp_check) are already documented in the schema, including the default for smtp_check. The description adds no meaning beyond that — it does not explain the cost or latency tradeoff of enabling the deep SMTP handshake. Baseline 3 is correct.

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 verb and resource ('Validate a batch of up to 1,000 email addresses') plus the backing service (NoBounce API). The word 'batch' implicitly separates it from the single-address sibling validate_email, but the sibling is never named explicitly, so the differentiation is left to inference.

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 'batch of up to 1,000 ... in a single call' phrasing implies when to prefer this over validate_email, but there is no explicit when-to-use statement, no exclusion for small lists, and no guidance on when the sibling is the better choice.

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