Email Validation
run_email_validationValidates an email address and returns deliverability signals (valid/invalid/risky, catch-all detection, provider, confidence).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| Yes | Email address to validate. |
run_email_validationValidates an email address and returns deliverability signals (valid/invalid/risky, catch-all detection, provider, confidence).
| Name | Required | Description | Default |
|---|---|---|---|
| Yes | Email address to validate. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds genuinely useful behavior beyond that: it spells out the deliverability signal set (valid/invalid/risky, catch-all detection, provider, confidence), which matters because no output schema exists. It stops short of noting rate limits, cost, or what 'risky' actually means.
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?
One sentence, front-loaded with the action, with the return payload in a tight parenthetical. Nothing is wasted and nothing important is buried.
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, read-only tool with no output schema, the description covers the essentials by naming the returned fields. It leaves minor gaps: no note on interpretation of 'risky', no mention of whether validation is real-time/SMTP-level or syntax-only, and no disambiguation from the sibling email tools.
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 there is a single, self-explanatory 'email' parameter, so the schema carries the burden. The description adds no syntax or format guidance (e.g., normalization, single vs. bulk), so the baseline 3 applies.
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 ('validates') plus resource ('an email address') and even enumerates the returned signals (valid/invalid/risky, catch-all, provider, confidence). It is not confused with a search or lookup tool. However, it never distinguishes itself from the adjacent email siblings (run_email_enrichment, run_email_finder), which an agent in this catalog could easily pick instead.
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?
There is no when-to-use guidance, no statement of when this is the wrong tool, and no reference to the obvious alternatives run_email_enrichment or run_email_finder. An agent must infer from the name alone whether it wants validation or enrichment.
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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