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Cancel an email verification job

cancel_email_verification_job
Idempotent

Stops a running verification job. Addresses already verified stay in the results and stay billed; addresses that never ran are never charged, so cancelling costs nothing further.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "jobId": "<jobId>"
    },
    "name": "cancel_email_verification_job"
  }
}

Input Schema

NameRequiredDescriptionDefault
jobIdYesThe job ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. Added

TDQS

A3.8/5.0
Behavior4/5

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

Goes well beyond the annotations by disclosing the billing and results consequences of cancelling: verified addresses remain in results and remain billed, unprocessed addresses are never charged. That is non-obvious operational context an agent can act on, and it is consistent with destructiveHint=false and idempotentHint=true.

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 with no waste, and the core action is front-loaded ahead of the billing nuance. Every clause adds decision-relevant information.

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?

For a one-parameter mutation with no output schema, the description covers the key behavioral outcomes an agent needs. It omits what the response contains (e.g., confirmation or final job state) and error conditions, but the essentials are present.

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?

There is a single required jobId parameter with full schema description coverage, so the schema already carries the parameter meaning. The description adds no format or sourcing detail for jobId, consistent with the baseline for fully documented params.

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

Purpose4/5

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

States a specific verb and resource: "Stops a running verification job." That is clearly distinct from the create/get/list siblings in the same family, though it does not explicitly contrast itself with any named alternative.

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

Usage Guidelines3/5

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

"Stops a running verification job" implies the usage context (a job in progress), but there is no explicit guidance on when to cancel versus let a job finish, or what happens if the job is already complete.

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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