High Risk →

chat_deep

Run a query through MarketIntell's T3 supervisor — parallel specialists across technical/derivatives/macro/social/onchain/etc. plus synthesis. Slower (~25-40s) and costlier than chat. Pro tier only.

Risk signalsAccepts freeform code/query input (query)

Part of the Marketintell server.

chat_deep can trigger actions in Marketintell, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

SECURE MARKETINTELL →

Free to start. No card required.

AI agents invoke chat_deep to trigger processes or run actions in Marketintell. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

chat_deep can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "chat_deep": {
      "limits": [
        {
          "counter": "chat_deep_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Marketintell policy for all 17 tools.

Get this rule live on your own Marketintell server in minutes. PolicyLayer enforces it on every call, before it runs.

ENFORCE ON MY MARKETINTELL →

View all 17 tools →

These attack patterns abuse exactly the kind of access chat_deep gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so chat_deep only ever does what you allow.

SECURE MARKETINTELL →

Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the chat_deep tool do? +

Run a query through MarketIntell's T3 supervisor — parallel specialists across technical/derivatives/macro/social/onchain/etc. plus synthesis. Slower (~25-40s) and costlier than chat. Pro tier only.. It is categorised as a Execute tool in the Marketintell MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on chat_deep? +

Register the Marketintell MCP server in PolicyLayer and add a rule for chat_deep: 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 Marketintell. Nothing to install.

What risk level is chat_deep? +

chat_deep is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit chat_deep? +

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

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

chat_deep is provided by the Marketintell MCP server (marketintell). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Marketintell tool call.

Deterministic rules across all 17 Marketintell tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.