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rbi_policy_rates

Retrieve current RBI policy rates including Repo, Reverse Repo, CRR, SLR, MSF, and Bank Rate. Provides monetary policy stance and last action summary.

Instructions

Current RBI monetary policy rates: Repo, Reverse Repo, CRR, SLR, MSF, Bank Rate.

Bloomberg Terminal charges $31,980/year for central bank data access. RBI publishes all policy rates free on rbi.org.in — we surface them here.

Provides:

  • Repo rate (current RBI lending rate to banks)

  • Reverse repo rate

  • Marginal Standing Facility (MSF) rate

  • Cash Reserve Ratio (CRR)

  • Statutory Liquidity Ratio (SLR)

  • Bank Rate

  • Monetary policy stance

  • Last policy action summary

Examples: rbi_policy_rates() → All current RBI policy rates and stance

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

No annotations are provided, so the description carries full burden. It lists all returned fields (repo rate, reverse repo, etc.) and includes an example output. No side effects are expected, and the data source is stated.

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

Conciseness4/5

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

The description is well-structured with bullet points and front-loaded. The Bloomberg mention adds useful context but slightly increases length. It remains efficient.

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 zero-parameter tool with an output schema, the description fully explains the return values and usage. It provides examples and covers all necessary context.

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 input schema has no parameters, and the description compensates by explaining what the tool returns in detail, adding value beyond the empty schema.

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 returns current RBI monetary policy rates (Repo, Reverse Repo, CRR, etc.) and provides an example. It distinguishes from sibling tools by focusing on a specific data set not offered by other tools.

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 implicitly suggests using this tool for free RBI rates and contrasts with Bloomberg's paid data. However, it does not explicitly list alternative tools or when not to use it. The context is clear enough.

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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