Skip to main content
Glama
AIWerk

@aiwerk/mcp-server-ghl

by AIWerk

email_isv_verify_email

Verify email deliverability for a given address or contact. Submit an email address or contact ID to confirm validity and reduce bounce rates.

Instructions

Email Verification

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYesEmail Verification type
verifyYesEmail Verification recepient (email address / contactId)
locationIdNoLocation Id, The email verification charges will be deducted from this location (if rebilling is enabled) / company wallet Defaults to GHL_LOCATION_ID when omitted.
Behavior1/5

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

Annotations carry minimal behavioral information (readOnlyHint=false, destructiveHint=false). The description adds no behavioral disclosure about side effects, such as whether an email is sent, whether it is a verification lookup, or any rate limits or authentication requirements. The description fails to carry the burden that annotations leave uncovered.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely short, but this is under-specification rather than conciseness. It lacks even a verb phrase and provides no structured information. While it is not verbose, it is not appropriately sized because it omits essential content.

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

Completeness1/5

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

The tool has no output schema and only three parameters, but the description is still insufficient. It does not explain what 'verify' means, what happens when called, what the return value is, or any operational constraints. An agent would have to guess the tool's behavior entirely.

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 per the rubric the baseline is 3. The description adds no parameter-specific meaning, but the schema already documents all properties adequately for an agent to understand them.

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

Purpose1/5

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

The description 'Email Verification' is essentially a label that restates the tool name without specifying the action. It does not say what the tool actually does (e.g., sends a verification email, checks email validity), and it provides no distinguishing information from the vast sibling set.

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

Usage Guidelines1/5

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

There is no guidance on when to use this tool, when not to use it, or what alternatives exist. The description gives no context about the intended use case or prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/AIWerk/mcp-server-ghl'

If you have feedback or need assistance with the MCP directory API, please join our Discord server