verify_bank_ifsc

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

No annotations are provided, so the description carries the full burden. It discloses the use of 'the free, live Razorpay IFSC API' and lists the return information (bank name, branch, full address, payment rails). However, it does not explain behavior on invalid IFSC codes, potential network/API errors, rate limits, or response structure. This is a meaningful gap, but the description does provide the source and data returned.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences long, front-loaded with the purpose, and contains no redundant information. Every clause adds value: the operation, the output fields, the data source, and the use case.

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

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

This is a simple read-only lookup tool with a single parameter and no output schema. The description compensates well by specifying the exact output fields (bank name, branch, full address, payment rails) and the use context. It does not mention the response format (e.g., JSON), but for an agent deciding whether to call it, the description is sufficiently complete.

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

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

The schema already provides 100% coverage for the single parameter 'ifsc', including length and an example. The description adds 'Indian bank' and mentions the API, but this does not significantly enhance the parameter semantics beyond the schema. Baseline 3 is appropriate.

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

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

The description clearly states the tool's function: 'Verify an Indian bank IFSC code and return the bank name, branch, full address and supported payment rails'. The verb 'verify' is specific, and the resource (IFSC code) is identified. It is distinct from all sibling tools, which focus on mutual funds, taxes, market data, etc., none of which overlap with IFSC verification.

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

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

The description includes a concrete use case: 'Useful before setting up a refund/payout account.' This provides clear context for when to use the tool. However, it does not mention when not to use it or name alternatives, though no direct sibling alternative exists.

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