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longbridge

longbridge

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Margin Ratio

margin_ratio
Read-onlyIdempotent

Retrieve the margin ratio for a security symbol to determine its borrowing capacity and margin requirements for trading decisions.

Instructions

Get margin ratio for a symbol.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesSecurity symbol, e.g. "700.HK"

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
fm_factorYes
im_factorYes
mm_factorYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changedv0.7.1
    • removedInput schema / title
      Removed value: -"SymbolParam"
  2. Changed6 schema fields changedv0.6.0
    • removedOutput schema / $schema
      Removed value: -"https://json-schema.org/draft/2020-12/schema"
    • removedOutput schema / description
      Removed value: -"Returned by `margin_ratio`.\n\nDecimals are stringified by `to_tool_json`."
    • removedOutput schema / properties / fm_factor / description
      Removed value: -"Forced close-out margin ratio (`fm_factor`)."
    • removedOutput schema / properties / im_factor / description
      Removed value: -"Initial-margin ratio (`im_factor`)."
    • removedOutput schema / properties / mm_factor / description
      Removed value: -"Maintenance-margin ratio (`mm_factor`)."
    • removedOutput schema / title
      Removed value: -"MarginRatioResponse"
  3. Addedv0.4.5
  4. Removedv0.4.0
  5. Addedv0.3.2
  6. Removedv0.3.1
  7. First observedv0.1.12

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, and destructiveHint=false. The description repeats 'Get' which aligns with read-only behavior, but adds no additional behavioral context beyond what annotations provide.

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 very concise at one sentence with no wasted words. It is front-loaded with the verb and resource, making it easy to parse.

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?

The description is minimally sufficient given the single parameter and existence of an output schema. However, it does not explain what a margin ratio is or what the output contains, which could be helpful for an AI agent.

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?

The input schema has 100% coverage, with the 'symbol' parameter fully described. The description adds no extra meaning to the parameter beyond what the schema already provides.

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 clearly states the verb 'Get' and resource 'margin ratio for a symbol', making the tool's purpose unambiguous. However, it does not explicitly differentiate from sibling tools like 'quote' that might also provide margin-related information.

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?

The description provides no guidance on when to use this tool versus alternatives. No context on prerequisites, limitations, or comparison with sibling tools is given.

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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