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validate_email

Check an address before sending. Verdicts: ok, invalid, no_mx, disposable, role.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYesEmail address.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden. It does disclose the verdict vocabulary (ok, invalid, no_mx, disposable, role), which is real behavioral value not available in the schema, but it says nothing about latency, network/SMTP lookups, caching, or what each verdict implies.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences, purpose front-loaded, with the verdict list appended compactly. No filler or restatement of the name.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and no annotations, the description must carry return-value semantics, and it only names the verdicts without explaining them (e.g., what makes an address 'disposable' or 'role', whether 'ok' guarantees deliverability). Adequate but clearly short of complete for a validation tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Only one parameter and schema coverage is 100%, so the schema already documents 'email'. The description adds no format, normalization, or multi-address syntax detail, so the baseline of 3 for high schema coverage applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: validate/check an email address, plus the outcome vocabulary. It does not, however, distinguish itself from close siblings such as check_email, verify_check, and verify_start, which an agent could easily confuse with it.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

"Check an address before sending" implies a use context (pre-send hygiene), but there is no explicit when-not guidance and no routing to the similarly named siblings check_email / verify_check / verify_start. The agent is left to infer which of the verification-family tools applies.

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

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