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email_disposable

Read-onlyIdempotent

Check if an email address uses a known disposable email provider to validate signups and block throwaway accounts.

Instructions

Check if email address uses a known disposable/temporary provider (Guerrilla Mail, Temp Mail, Mailinator, etc.). Use for input validation to detect throwaway signups; for domain reputation use threat_intel. Companion email-investigation tools: email_mx (deliverability + MX trust), domain_report on the email's domain (full recon), threat_intel (malware-distribution signal on the domain). Free: 100/hr, Pro: 1000/hr. Returns {disposable, domain, provider}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYesFull email address to check (e.g. 'user@tempmail.com', 'test@guerrillamail.com')

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

Annotations (readOnlyHint, idempotentHint) already indicate safety. Description adds rate limits (100/hr Free, 1000/hr Pro) and return format {disposable, domain, provider}, providing full behavioral context beyond annotations.

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?

Four sentences efficiently cover purpose, usage guidance, companion tools, rate limits, and return format. No superfluous information.

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

Completeness5/5

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

For a simple one-parameter tool with output schema, the description covers all necessary context: what it does, when to use it, alternatives, rate limits, and return structure. No gaps.

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?

Schema coverage is 100% with a clear description of the 'email' parameter including examples. The description adds no new parameter semantics beyond confirming the purpose, so baseline 3 is appropriate.

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

Purpose5/5

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

The description clearly states the tool checks for disposable email providers, lists examples (Guerrilla Mail, Temp Mail, Mailinator), and distinguishes from sibling tools like threat_intel and email_mx.

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

Usage Guidelines5/5

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

Explicitly states when to use: 'for input validation to detect throwaway signups' and when to use alternatives: 'for domain reputation use threat_intel'. Also lists companion tools with their purposes.

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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