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Counterfoil: medicines sold in India

Batches that failed quality tests (CDSCO)

failed_batches
Read-onlyIdempotent

Drug batches that Indian government laboratories declared not of standard quality (CDSCO monthly alerts): product, batch, manufacturer, what it failed on, and the laboratory. Search by product or manufacturer, and/or a month.

Input Schema

NameRequiredDescriptionDefault
monthNooptional alert month, YYYY-MM
queryNoproduct or manufacturer, e.g. 'paracetamol' or 'Hind Pharma'

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

The annotations already declare this as a read-only, idempotent, non-destructive search. The description adds useful context about the authoritative source (CDSCO monthly alerts) and the fields included in the result, though it does not discuss pagination or result limits.

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 compact and front-loaded: it first defines the dataset and source, then explains how to search. Every clause contributes to understanding the tool without unnecessary repetition.

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?

For a simple two-parameter read-only search with no output schema, the description provides enough detail: source, scope, search options, and the key result fields. No essential calling information is missing.

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 coverage is 100%, so the parameter descriptions already define `month` as YYYY-MM and `query` as a product or manufacturer. The description reinforces that either or both may be used, but adds little beyond the schema itself.

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?

The description names the exact resource and scope: drug batches declared not of standard quality by Indian government labs under CDSCO monthly alerts. It also lists the returned fields, making it unmistakable against unrelated siblings.

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?

It clearly states the available search dimensions: product or manufacturer and/or month. There are no overlapping sibling tools to exclude, but it does not spell out when not to use this tool or what to do if no results are found.

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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