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Jornalo — futures trading journal

Prop firm risk cockpit

get_prop_accounts_risk
Read-only

For each active prop-firm account: how much cushion is left before the trailing drawdown and the daily loss limit liquidate it, the alert level, progress to the profit target and the recommended risk per trade. This is the answer to "how close am I to blowing the account?".

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_prop_accounts_risk"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already establish readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds meaningful behavioral scope beyond that: results are restricted to active prop-firm accounts only, and it discloses the derived metrics returned (alert level, recommended risk per trade), which tells the agent this is a computed advisory view rather than raw account data.

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 return contents are front-loaded in the first sentence, which is where an agent looks first. The closing colloquial question ("This is the answer to ...") is mildly redundant but does aid routing by naming the user intent, so the slight padding is defensible.

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?

With no output schema, the description carries the burden of describing the response and does so field-by-field, which is strong. Minor omissions remain (behavior when no active prop accounts exist, whether results are paginated), but for a parameterless read-only tool this is close to sufficient.

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, which is the baseline-4 case. The description correctly implies a no-argument, whole-portfolio call ("for each active prop-firm account") and does not invent filtering inputs, so nothing is misrepresented.

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 resource and enumerates exactly what is computed for each active prop-firm account: trailing drawdown cushion, daily loss limit, alert level, profit-target progress, and recommended risk per trade. It is clearly distinguishable from trading/performance siblings like get_performance_summary or list_accounts, though it never names those alternatives to draw the contrast explicitly.

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 implied through the framing question "how close am I to blowing the account?", which suggests a monitoring/risk-check context, but there is no explicit when-to-use versus when-to-use-an-alternative guidance and no stated prerequisites. An agent can infer intent but must guess the boundaries against siblings such as list_accounts or get_equity_curve.

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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