Skip to main content
Glama

getapi_validation_email_batch

Validate multiple email addresses in one call to verify formatting and reduce invalid signups before storage or messaging.

Instructions

Validate a batch of email addresses [POST /v1/validate/email/batch]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
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 behavioral burden. It discloses only the HTTP method and path; it says nothing about authentication needs, rate limits, maximum batch size, cost, or what a result contains. For a network-calling validation tool this leaves most behavior opaque.

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

Conciseness4/5

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

One sentence, front-loaded with the action and resource, with the endpoint appended as secondary detail. Nothing is wasted, though it is arguably too terse to be fully useful.

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

Completeness2/5

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

With no annotations, no output schema, 0% parameter coverage, and a nested input object, the description should do far more. It omits batch limits, result format, and behavioral caveats, leaving an agent unable to call it correctly without guessing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the single parameter is a nested object (body.emails). The description adds no information about the emails array, per-item constraints such as the 255-char limit, or the response shape, so it does not compensate for the undocumented schema.

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 ('Validate a batch of email addresses') and the 'batch' qualifier distinguishes it from the sibling getapi_validation_email, which handles a single address. The endpoint in brackets adds concrete API context. It stops short of explicitly naming the sibling, but the purpose is unmistakable.

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 word 'batch' implicitly signals when to prefer this over the single-address sibling, but there is no explicit when-to-use statement, no mention of batch-size limits, and no named alternatives. Usage must be inferred rather than read.

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