Low Risk

qd_get_gainers_losers

qd_get_gainers_losers

How to control qd_get_gainers_losers ↓

What qd_get_gainers_losers does on QuantData MCP Server

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

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Why qd_get_gainers_losers needs a policy

This tool retrieves and returns market data without modifying, executing external operations, or committing financial transactions. It enables agents to query which options contracts have gained or lost value, a purely informational operation. Lower confidence (0.85 rather than 0.95+) due to empty description, but the naming convention and server context strongly indicate read-only functionality.

From the tool's definition Tool name 'qd_get_gainers_losers' indicates retrieval of market data about price movements. Description is empty, but the naming pattern aligns with sibling tools like 'qd_get_contract_price' which are read operations.

Documented attack patterns abuse exactly the kind of access qd_get_gainers_losers gives an agent:

How to control qd_get_gainers_losers

PolicyLayer is an MCP gateway — it sits between your AI agents and QuantData MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for qd_get_gainers_losers:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "qd_get_gainers_losers": {}
  }
}

qd_get_gainers_losers is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register QuantData MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about qd_get_gainers_losers

What does the qd_get_gainers_losers tool do? +

qd_get_gainers_losers. It is categorised as a Read tool in the QuantData MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on qd_get_gainers_losers? +

Register the QuantData MCP Server MCP server in PolicyLayer and add a rule for qd_get_gainers_losers: 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 QuantData MCP Server. Nothing to install.

What risk level is qd_get_gainers_losers? +

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

Can I rate-limit qd_get_gainers_losers? +

Yes. Add a rate_limit block to the qd_get_gainers_losers 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 qd_get_gainers_losers completely? +

Set action: deny in the PolicyLayer policy for qd_get_gainers_losers. 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 qd_get_gainers_losers? +

qd_get_gainers_losers is provided by the QuantData MCP Server MCP server (zzulanas/quantdata-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every QuantData MCP Server tool call.

Start from QuantData MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

50 QuantData MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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