AI agents invoke formula.run to trigger actions in TdxQuant MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
The name 'formula.run' strongly suggests executing a formula or computation, placing it in the Execute category. Given the server context includes trading capabilities, misuse could have significant financial implications. However, the empty description lowers confidence — the tool might only calculate/read data rather than execute trades.
From the tool's definition Tool name 'formula.run' implies execution of a formula or script. The server description mentions 'trading operations' which could be triggered by formula execution.
Documented attack patterns abuse exactly the kind of access formula.run gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and TdxQuant MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for formula.run:
{
"version": "1",
"default": "deny",
"tools": {
"formula.run": {
"limits": [
{
"counter": "formula.run_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}formula.run stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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formula.run. It is categorised as a Execute tool in the TdxQuant MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the TdxQuant MCP Server MCP server in PolicyLayer and add a rule for formula.run: 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 TdxQuant MCP Server. Nothing to install.
formula.run is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the formula.run 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.
Set action: deny in the PolicyLayer policy for formula.run. 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.
formula.run is provided by the TdxQuant MCP Server MCP server (lingfan/tdxquant-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from TdxQuant 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.
39 TdxQuant MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.