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rehan1020

mcp-india-stack

by rehan1020

bulk_validate_aadhaar

Read-onlyIdempotent

Batch-validate up to 500 Aadhaar numbers in one call for KYC, onboarding, or compliance workflows. Get per-number validity results and valid/invalid counts.

Instructions

Validate multiple Aadhaar numbers in parallel using ThreadPoolExecutor.

Use when batch-validating Aadhaar numbers for KYC, onboarding, or compliance workflows.

Args: numbers: List of Aadhaar numbers (with or without spaces/hyphens).

Returns: Standard envelope with per-Aadhaar results and valid/invalid counts.

Notes: Max 500 Aadhaars per call. Uses same Verhoeff validation as single tool.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
numbersYesList of Aadhaar numbers to validate (max 500)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changedv0.5.0
    • removedInput schema / additionalProperties
      Removed value: -false
    • addedInput schema / properties / numbers / title
      Added value: +"Numbers"
    • addedInput schema / title
      Added value: +"bulk_validate_aadhaarArguments"
    • addedOutput schema / title
      Added value: +"bulk_validate_aadhaarDictOutput"
  2. Addedv0.4.2

TDQS

A4.8/5.0
Behavior5/5

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

Annotations already declare readOnlyHint and idempotentHint, and the description adds genuinely useful behavioral details: parallel execution via ThreadPoolExecutor, a 500-item cap, per-Aadhaar results with counts, and consistency with the single-tool Verhoeff algorithm. No contradiction with annotations.

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?

The description is well organized with clearly labeled sections: usage, args, returns, and notes. Every sentence earns its place, and the main purpose is front-loaded before implementation details.

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

Completeness5/5

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

With only one parameter, a rich output schema, and annotations covering safety, the description provides everything needed: when to use it, input normalization, batch limit, parallelism, and return behavior. Nothing important is missing.

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

Parameters5/5

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

The schema covers the parameter at 100%, but the description adds meaningful input semantics beyond the schema by stating that numbers may include spaces or hyphens and reinforcing the max-500 list constraint. This helps the agent prepare valid input.

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

Purpose5/5

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

States a specific verb and resource: validate multiple Aadhaar numbers. The description adds parallel execution detail, and the word 'multiple' plus batch focus clearly distinguishes it from validate_aadhaar.

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

Usage Guidelines4/5

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

Explicitly says to use when batch-validating for KYC, onboarding, or compliance workflows, which gives clear context. It does not explicitly name validate_aadhaar as the single-item alternative, so it falls just short of full when-not/alternatives guidance.

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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