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kevynf

AKBridge MCP Server

by kevynf

macro_cons_silver

Read-onlyIdempotent

Retrieve SPDR silver ETF holdings report data from 2004-11-18 to present as a pandas DataFrame for macro analysis.

Instructions

全球最大白银 ETF—SPDR Gold Trust 持仓报告,数据区间从 20041118-至今 https://datacenter.jin10.com/reportType/dc_etf_sliver :return: 持仓报告 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, openWorld, and non-destructive, so safety is covered. The description usefully adds the historical coverage window (20041118-present) and the return type (pandas.DataFrame). It does not disclose update frequency or source reliability, so it adds modest value beyond the annotations.

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?

Short and front-loaded: instrument, data range, source URL, then return type. The docstring-style :return:/:rtype: lines are slightly redundant with the closing content but add the DataFrame return type, so little is wasted.

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 zero-parameter, read-only data-fetch tool with no output schema, the description covers the resource, the temporal scope, and the return type. The one gap is the internal inconsistency between 'silver ETF' and 'SPDR Gold Trust', which an agent could misinterpret.

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?

The tool takes zero parameters (schema description coverage 100%), so there is nothing for the description to clarify. Baseline 4 applies; the description does not need to compensate for any parameters.

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?

States a specific verb/resource: retrieves the holdings report for a major silver ETF, plus the data range (20041118-present). An agent can identify the resource, though the text calls SPDR Gold Trust (a gold ETF) the 'largest silver ETF', which muddies exactly which instrument this returns. Sibling macro_cons_gold is not distinguished.

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

Usage Guidelines2/5

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

No when-to-use or when-not-to-use guidance. It does not mention the closely related macro_cons_gold or macro_cons_opec_month alternatives, nor any condition for choosing this over them. The agent must infer usage from the name alone.

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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