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Razorpay IFSC Bank Lookup

razorpay.ifsc.lookup
Read-onlyIdempotent

Retrieve Indian bank branch details (name, address, UPI/NEFT/RTGS/IMPS capabilities) using an 11-character IFSC code.

Instructions

Look up Indian bank branch details (name, address, IFSC capabilities like UPI/NEFT/RTGS/IMPS) by IFSC code. Free, MIT-licensed open data covering all Indian banks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ifsc_codeYes11-character IFSC code (e.g. SBIN0005943). Format: 4 letters (bank code) + 0 + 6 digits (branch code).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
Behavior4/5

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

Annotations already provide readOnlyHint and idempotentHint. The description adds context about data coverage (all Indian banks) and licensing, which complements the safety profile. No contradictions.

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, front-loaded with the core purpose, no unnecessary words. Every sentence adds value.

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 lookup tool with a single parameter and output schema, the description covers purpose, data scope, licensing, and expected output fields. It is complete and self-contained.

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% with detailed description of the required parameter (ifsc_code format). The description adds minimal extra meaning beyond the schema, only hinting at the output fields. Baseline of 3 is appropriate.

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 clearly states the tool's action ('Look up') and resource ('Indian bank branch details by IFSC code'), listing specific fields (name, address, capabilities). It distinguishes itself from sibling tools, which are diverse and unrelated.

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?

The description implies usage for bank branch lookups and states the data is free and MIT-licensed. While no explicit exclusions or alternatives are given, the tool is unique among siblings, so the context is clear.

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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