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lolifamily

ashare-mcp

get_benchmark_rate_data

Retrieve historical People's Bank of China benchmark deposit or loan rates by specifying the rate type and optional date range.

Instructions

Fetch PBoC benchmark deposit or loan rates within a date range.

rate_type:

  • 'deposit': benchmark deposit rates — demand plus fixed-term 3-month .. 5-year.

  • 'loan': benchmark loan rates — 6-month .. above-5-year, plus mortgage rates.

Args: rate_type: Which rate table to fetch. start_date: Optional 'YYYY-MM-DD'. end_date: Optional 'YYYY-MM-DD'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rate_typeYes
start_dateNo
end_dateNo
Behavior3/5

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

No annotations are provided, so the description bears the full burden. It explains the structure of rate_type (deposit and loan with term breakdowns) but does not disclose data freshness, authorization needs, rate limits, or output format. Some behavioral context is added, but significant gaps remain.

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 concise and well-structured: a one-line purpose, a bullet for rate_type details, and an Args list. It repeats some schema info but adds value. Could be slightly tighter by removing the Args line that merely restates names.

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

Completeness3/5

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

With three parameters (one required) and no output schema, the description explains the required parameter well but does not describe the return format, error cases, or data availability. This leaves the agent partially informed.

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 description coverage is 0%, so the description must compensate. It explains rate_type in detail with enum values and their included terms. For start_date and end_date, it adds the format hint 'YYYY-MM-DD' and notes they are optional, which is helpful but minimal.

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 'Fetch PBoC benchmark deposit or loan rates within a date range,' specifying verb, resource, and scope. It distinguishes between deposit and loan rate types, making the tool's purpose unambiguous among sibling tools.

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

Usage Guidelines3/5

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

The description does not explicitly state when to use this tool versus alternatives. While it implies usage for fetching benchmark rates, no guidance on when-not-to-use or comparisons to siblings like get_money_supply_data or get_required_reserve_ratio_data is provided.

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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