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Qualisend Email Verification

Analyze an email's headers

analyze_email_header
Read-only

Read the hidden technical details of an email (its 'headers') to show the route it took, how long each step took, and whether it passed spam/authentication checks — handy for figuring out why a message was slow or went to spam. Paste the message source / 'Show original'. No credit used. Available on the Qualisend Pro plan.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rawYesThe raw email headers (paste the message source).

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds valuable behavioral context: it shows routing, timing, and spam/authentication status, and clarifies that no credit is consumed and Pro plan is required. This goes beyond the safety hints to describe what the tool actually reveals.

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 sentences that are front-loaded with the core purpose, followed by usage instructions and constraints. Every sentence earns its place with no fluff or redundancy.

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 tool with one parameter and no output schema, the description is complete. It explains what the tool does, how to invoke it, what information it returns, and its constraints (no credit, Pro plan). No critical gaps are evident.

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

Parameters4/5

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

The schema already provides 100% coverage for the single parameter 'raw' with a description. The description adds the practical instruction 'Paste the message source / Show original', reinforcing and clarifying the expected input format, which adds value beyond the schema's baseline.

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 uses a specific verb 'Read' and clearly identifies the resource (email headers). It explains what analysis is performed (route, time per step, spam/authentication checks) and distinguishes itself from sibling verification tools by focusing on header analysis rather than address validation.

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?

Provides clear guidance on when to use (when a message is slow or goes to spam) and how to use (paste message source). It also notes the Pro plan requirement and that no credit is used, but it does not explicitly mention alternatives or exclusions in comparison to sibling tools.

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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TDQS

A4.4/5.0
Disambiguation5/5

Each tool targets a distinct function: single verification, synchronous batch, asynchronous bulk list, plus separate diagnostic checks (disposable, typo, domain, blacklist, header, SMTP code). The three verify tools are clearly differentiated by single vs. batch, sync vs. async, and size limits.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case: check_*, get_*, verify_*, generate_*, analyze_*, lookup_*. The batch variations (verify_emails, verify_list) are predictable extensions of verify_email.

Tool Count5/5

12 tools is well within the ideal range for a focused email verification service. Each tool serves a clear purpose covering verification, diagnostics, DNS generation, and account management without unnecessary bulk.

Completeness4/5

The domain is well-covered: single/batch/large-list verification, common pre-check diagnostics, blacklist lookup, DNS record generation, and SMTP code explanations. Minor gaps include no history listing or batch job management beyond polling, but these are not core to the stated purpose.

Resources