util_risk_reward

Risk–reward ratio = reward / risk for stop/target geometry

SERVERDelx MCP Server SOURCEdelx-mcp-server

Low RISK CLASS

Category Read

Parameters 33 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-davidmosiah-delx-mcp-server/util-risk-reward.md

WHAT IT DOES

What util_risk_reward does on Delx MCP Server

AI agents call util_risk_reward to retrieve information from Delx MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Parameter	Type	Required	Description
`stop`	integer	Yes	Input field: stop.
`take`	integer	Yes	Input field: take.
`entry`	integer	Yes	Input field: entry.

Parameters from the server's own tool schema.

RISK

Why util_risk_reward is rated Low

Even though util_risk_reward only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs util_risk_reward safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Delx MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For util_risk_reward, this is the rule to start with:

util_risk_reward Allowed

util_risk_reward is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "util_risk_reward": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Delx MCP Server, apply this rule, and every util_risk_reward call is checked against it from then on.

FAQ

Questions about util_risk_reward

What does the util_risk_reward tool do? +

Risk–reward ratio = reward / risk for stop/target geometry. It is categorised as a Read tool in the Delx MCP Server MCP Server, which means it retrieves data without modifying state.

What parameters does util_risk_reward accept? +

util_risk_reward accepts 3 parameters: stop, take, entry. Required: stop, take, entry. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on util_risk_reward? +

Register the Delx MCP Server MCP server in PolicyLayer and add a rule for util_risk_reward: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Delx MCP Server. Nothing to install.

What risk level is util_risk_reward? +

util_risk_reward is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit util_risk_reward? +

Yes. Add a rate_limit block to the util_risk_reward rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block util_risk_reward completely? +

Set action: deny in the PolicyLayer policy for util_risk_reward. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides util_risk_reward? +

util_risk_reward is provided by the Delx MCP Server MCP server (delx-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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