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yessGlory17

JobVerify

check_email_footprint

Read-onlyIdempotent

Verify a sender's identity by checking their Gravatar profile and linked social accounts. Use digital footprint to detect fake recruiters.

Instructions

Check an email's public Gravatar profile & linked social accounts (no key). An established identity is a mild legitimacy signal; a throwaway scam address usually has none. Corroborate the linked accounts against the recruiter.

Use when: you want a quick digital-footprint read on a sender's email.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint. The description adds 'no key' as a minor behavioral detail but does not disclose other behaviors like what happens if email is invalid or rate limits. Given annotations cover safety, this is adequate.

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?

The description is exceptionally concise: three short sentences covering purpose, value interpretation, and usage. No wasted words.

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

Completeness4/5

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

Given the existence of an output schema, the description need not detail return values. It provides clear context about the tool's function and usage. Minor gap: no mention of what 'linked accounts' includes, but overall sufficient.

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

Parameters2/5

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

Schema description coverage is 0%. Description implicitly covers the 'email' parameter but omits 'response_format'. No parameter-specific details are given beyond what the schema provides, leaving the response_format parameter underexplained.

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 an email's public Gravatar profile and linked social accounts. It uses specific verb and resource, distinguishing it from sibling tools like check_email, check_domain, etc.

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

Usage Guidelines4/5

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

The description provides explicit guidance on when to use ('quick digital-footprint read on a sender's email') and hints at context (legitimacy signal vs. throwaway). It does not explicitly mention when not to use, but the context is clear enough.

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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