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hkopenai

Hong Kong Finance Data MCP Server

by hkopenai

get_stamp_duty_statistics

Retrieve monthly Hong Kong stock stamp duty statistics for listed and unlisted transfers. Filter by start and end period in YYYYMM to analyze revenue trends.

Instructions

Get monthly statistics on stamp duty collected from transfer of Hong Kong stock (both listed and unlisted)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_periodNoEnd period in YYYYMM format to filter results
start_periodNoStart period in YYYYMM format to filter results

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.7

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. 'Get' implies a read-only operation and the monthly granularity plus listed/unlisted scope adds useful context, but it says nothing about behavior when start_period/end_period are omitted (both default to null) or about pagination/limits.

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

Conciseness5/5

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

A single well-formed sentence with the verb and resource front-loaded and zero filler; nothing could be removed without losing meaning.

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

Completeness4/5

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

For a simple two-optional-parameter read tool with an output schema handling return values, the description is nearly sufficient. It covers purpose and data scope; only the null-default behavior is left unexplained.

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

Parameters3/5

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

Schema description coverage is 100%, so both parameters (start_period, end_period in YYYYMM) are fully documented in the schema. The description adds no parameter-level detail, which is acceptable at full coverage but earns only the baseline.

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

Purpose4/5

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

The description names a specific verb ('Get'), resource ('monthly statistics on stamp duty'), and data scope ('transfer of Hong Kong stock, both listed and unlisted'). This distinguishes it from most siblings (credit card stats, HIBOR, ATM locations), though it does not explicitly name a competing tool.

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?

Usage is only implied: an agent can infer this is the tool for stamp-duty revenue figures, but there is no explicit when-to-use statement, no exclusions, and no pointer to alternative tools for related fiscal data.

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