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rehan1020

mcp-india-stack

by rehan1020

lookup_ifsc

Read-onlyIdempotent

Look up Indian IFSC codes to retrieve bank branch details for invoices, onboarding, or payment validation, using bundled data with live fallback.

Instructions

Look up an Indian IFSC code from bundled dataset with live fallback support.

Use this when you need bank branch details from an IFSC code in invoices, onboarding forms, or payment validation workflows.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ifsc_codeYesIFSC code, expected 11 chars. Example: HDFC0000001

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnly and idempotent hints. The description adds valuable behavioral context about data source (bundled dataset with live fallback), which supplements the annotations without contradiction.

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?

Two sentences, no wasted words. Front-loaded with core function, then usage context. Every sentence earns its place.

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?

Given the presence of an output schema, the description adequately covers data source, use cases, and the single parameter. No gaps for a simple lookup tool.

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?

Input schema already provides full description (100% coverage) with example and length constraints. The description adds no additional meaning beyond what the schema offers.

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 uses specific verb 'look up' and resource 'IFSC code', clearly stating it retrieves bank branch details with a bundled dataset and live fallback. It distinguishes itself from siblings like 'bulk_validate_ifsc' by implying single-lookup use.

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 states when to use: for bank branch details from IFSC in invoices, onboarding forms, or payment validation. While no explicit when-not or alternatives are given, the context is clear and the sibling tool names imply bulk validation alternatives.

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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