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China Lpr Latest

china_lpr_latest
Read-onlyIdempotent

China's most recent PBOC Loan Prime Rate (贷款市场报价利率一年期/五年期, LPR 1Y/5Y) print only — a cheap single-row call for just the current 1-year and 5-year rates and their official reference/announcement date, without the 12-month history. Use china_lpr instead if you need the trend over time. Keyless, sourced live from the National Interbank Funding Center, under PBOC authorization.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already cover safety (readOnly, idempotent, non-destructive), and the description adds context beyond them: keyless access (no auth required), a live upstream source (National Interbank Funding Center under PBOC authorization), and the explicit exclusion of 12-month history. It stops short of stating publication cadence or staleness behavior, which matters for a tool named 'latest'.

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?

Two sentences, front-loaded with the resource and the scope limit before the sibling comparison. The bilingual name and parenthetical are slightly heavy for a zero-parameter call, but nothing is genuinely redundant.

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 parameterless, output-schema-less snapshot tool, the description supplies everything an agent needs: what is returned, what is not (history), the alternative, keyless access, and source provenance. Correct invocation requires no further information.

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?

There are zero parameters, so the schema-coverage baseline of 4 applies and there is nothing for the description to disambiguate. The description instead spends its words on the shape of the result (current 1Y/5Y rates plus reference date), which is the useful analogue here.

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 gives a specific resource (PBOC Loan Prime Rate, 1Y/5Y), states the exact scope ('print only', 'cheap single-row call'), and lists what is returned ('current 1-year and 5-year rates and their official reference/announcement date'). It also distinguishes itself from the sibling china_lpr by name, so an agent can pick between them without opening a schema.

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

Usage Guidelines5/5

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

It explicitly says when to use this tool ('just the current rates... without the 12-month history') and names the alternative with its selecting condition ('Use china_lpr instead if you need the trend over time'). It also flags cost ('cheap single-row call'), which is a real decision input when an agent is choosing between a snapshot and a series.

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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