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Central-bank policy rate

policy_rate
Read-onlyIdempotent

Current policy rate of one of three central banks, as published on the bank's own page: boe = Bank of England Bank Rate; fed = US Federal Reserve federal funds target range (lower and upper bound); ecb = European Central Bank deposit facility, main refinancing operations and marginal lending facility rates. Returns the figure(s) in % per annum, effectiveFrom, decisionDate and the meeting that set the level, the previous level with its effective date, the latest decision (which may be a hold), the next scheduled decision date, the official source page, the decision press release and verifiedDate. all: true returns every bank. Other central banks answer covered:false.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
allNotrue returns every bank (bank may be omitted)
bankNoboe | fed | ecb (common names such as "Bank of England", "FOMC" or "ECB" resolve too)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already establish read-only, idempotent, non-destructive behavior, so the description focuses on useful operational detail: the exact units (% per annum), that the latest decision may be a hold, and that unknown banks yield covered:false. It stops short of explaining freshness guarantees beyond the verifiedDate field.

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?

Purpose and per-bank definitions are front-loaded, and the return-field enumeration is dense but justified given there is no output schema. The single long sentence is information-rich but slightly list-heavy.

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?

With no output schema, the description carries the full burden and does so: it enumerates every returned field (rate, effectiveFrom, decisionDate, prior level, latest decision, next decision date, source, press release, verifiedDate) and covers the all flag and unknown-bank behavior.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3, but the description adds real meaning: it explains that fed maps to a target range with lower and upper bounds and that ecb maps to deposit/refinancing/marginal lending facility rates, details the enum alone doesn't convey.

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 a specific resource (central-bank policy rates) and scope (exactly three banks: boe, fed, ecb), and spells out what each code denotes. An agent can tell immediately what this tool returns and for which institutions.

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?

Usage context is clear: use this for these three banks, and `all: true` returns every bank, while other central banks return covered:false. There are no sibling tools, so no alternative routing is needed, but it never states prerequisites or when-not-to-use beyond the scope limitation.

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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