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mailveri

Mailveri MCP Server

Official
by mailveri

mailveri_verify_batch

Submit a list of emails for bulk verification and receive a job ID to track asynchronous results.

Instructions

Submit a list of emails for bulk verification (minimum 2 unique emails).

The list is queued on Mailveri's backend for asynchronous distributed verification. Returns a job ID that can be tracked with mailveri_get_batch_status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailsYes
filenameNobatch.csv

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does disclose meaningful behavior: the work is queued on the backend for asynchronous distributed verification and the call returns a job ID rather than results. It omits auth requirements, rate limits, duplicate-handling beyond 'unique', and any failure behavior, so it is strong but not exhaustive.

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?

Three short sentences, each doing distinct work: the actionable constraint first, then the async behavior, then the follow-up tool for tracking. No filler or repetition.

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?

An output schema exists, so return values need not be detailed, and the description still usefully notes that a job ID comes back. For an async submission tool the submission/tracking lifecycle is covered, though edge cases like invalid emails or how duplicates are treated remain unaddressed.

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 0%, so the description must compensate. It adds real meaning for the emails parameter (a list with a minimum of 2 unique entries), but the second parameter, filename (default batch.csv), is never mentioned or explained, leaving half the parameters undocumented anywhere.

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: submitting a list of emails for bulk verification, with an explicit minimum (2 unique emails). The word 'bulk'/list scoping implicitly separates it from the single-email sibling mailveri_verify_email, but that sibling is never named, so the differentiation is inferred rather than stated.

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?

The description implies usage for multi-email workloads via the 'minimum 2 unique emails' constraint and routes the agent forward to mailveri_get_batch_status for tracking. It never states when to prefer this over mailveri_verify_email or mailveri_get_balance, nor any exclusion conditions, so usage is only implied.

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