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BillionVerify

billionverify-mcp

Official

get_verification_stats

Retrieve aggregated email verification statistics for your BillionVerify account over a selected period to monitor usage and trends.

Instructions

Get aggregated verification statistics for your BillionVerify account

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
periodNoThe reporting period to query30d
api_keyNoBillionVerify API key (optional if BILLIONVERIFY_API_KEY env is set)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.1.0

TDQS

C2.9/5.0
Behavior2/5

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

Annotations are absent, so the description carries the full burden of behavioral disclosure. While 'Get' implies a read-only operation, nothing is said about API credit consumption, rate limits, authentication requirements beyond the api_key param, or the structure of the returned statistics. This is a significant gap for a retrieval tool.

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?

The description is a single, efficiently worded sentence with no redundancy, and the core action is front-loaded. It earns points for brevity, though it sacrifices necessary detail—which is a completeness issue, not a conciseness one.

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 output schema and no annotations, the description should clarify what the aggregated statistics include (e.g., counts, deliverability rates, breakdowns), but it does not. It also fails to explain how this differs from get_verification_history, leaving an agent uncertain about expected results.

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 baseline is 3. The schema already documents period (enum with default) and api_key (optional with fallback to env). The description adds no additional parameter context, but it doesn't need to because the schema handles it fully.

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?

The description uses a specific verb ('Get') and resource ('aggregated verification statistics') scoped to the user's account. The word 'aggregated' subtly distinguishes it from sibling get_verification_history, though it does not name the alternative explicitly. This is clear enough for an agent to recognize the tool's general purpose.

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

Usage Guidelines2/5

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 versus get_verification_history, get_account_balance, or other siblings. The description provides no context about reporting needs, prerequisites, or exclusions. An agent would have to infer use cases, which is insufficient.

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