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Unosend MCP Server

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by unosend

validate_email

Check if an email address exists and is deliverable by validating its format, domain, and mailbox status to ensure accurate communication.

Instructions

Validate an email address to check if it exists and is deliverable. Costs $0.01 per validation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYesEmail address to validate
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses key behavioral traits: it validates existence and deliverability (clarifying what 'validate' means) and includes cost per validation ($0.01), which is crucial for usage. However, it doesn't mention rate limits, error handling, or response format.

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 two sentences, front-loaded with the core purpose and followed by cost information. Every sentence earns its place with no waste, making it highly efficient and easy to parse.

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?

Given no annotations and no output schema, the description is moderately complete. It covers purpose and cost, but lacks details on response format, error cases, or integration with sibling tools. For a validation tool with financial implications, more context on outputs or limitations would be beneficial.

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 description coverage is 100%, so the schema already documents the 'email' parameter adequately. The description doesn't add meaning beyond what the schema provides (e.g., no details on email format requirements or validation criteria). Baseline 3 is appropriate as the schema does the heavy lifting.

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 specific verb ('validate') and resource ('email address'), and distinguishes its purpose from siblings by focusing on existence and deliverability checking rather than sending, listing, or other operations. It's precise and unambiguous.

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 implies usage context (checking email validity) but doesn't explicitly state when to use this tool versus alternatives like 'get_email' or 'send_email'. It provides cost information which helps in decision-making, but lacks explicit comparisons or exclusions.

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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