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ignytehq

plunk-mcp

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by ignytehq

plunk_verify_email

Check if an email address is deliverable to prevent bounces and maintain data quality. Verify before you send.

Instructions

Validate that an email address is deliverable.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYesEmail address to validate.
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. However, it only states what the tool does, not whether it is a read-only operation, if it sends network requests, or if it has side effects. The agent is left without important behavioral context.

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 a single sentence that is direct and front-loaded. It contains no fluff or unnecessary detail, making it appropriately concise for the tool's simplicity.

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?

The tool is simple (one parameter, no output schema), but the description does not explain what the validation returns (e.g., boolean, detailed report). It also lacks usage context. While it is not egregiously incomplete for a simple tool, it leaves the agent guessing about the response format.

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?

The input schema has one parameter with 100% schema description coverage. The tool description adds no additional meaning beyond the schema, but the schema itself is clear ('Email address to validate'). Hence, a baseline score of 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 'Validate that an email address is deliverable' clearly states the tool's action (validate) and resource (email address). It is specific and distinguishes itself from sibling tools like send or create, which perform different operations.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It does not mention any exclusions, prerequisites, or alternative tools, leaving the agent to infer usage from the tool's name alone.

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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