Medium Risk

register_challenge

Step 1 of MCP self-signup. Returns a proof-of-work challenge. Solve locally (find a nonce whose sha256 has the required leading zero hex chars), then call register with { challenge_id, nonce, name }.

Part of the Marketintell server.

register_challenge can modify Marketintell data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use register_challenge to create or modify resources in Marketintell. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call register_challenge repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Marketintell.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "register_challenge": {
      "limits": [
        {
          "counter": "register_challenge_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Marketintell policy for all 17 tools.

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These attack patterns abuse exactly the kind of access register_challenge 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 register_challenge only ever does what you allow.

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

What does the register_challenge tool do? +

Step 1 of MCP self-signup. Returns a proof-of-work challenge. Solve locally (find a nonce whose sha256 has the required leading zero hex chars), then call register with { challenge_id, nonce, name }.. It is categorised as a Write tool in the Marketintell MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on register_challenge? +

Register the Marketintell MCP server in PolicyLayer and add a rule for register_challenge: 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 register_challenge? +

register_challenge is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit register_challenge? +

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

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

register_challenge 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.

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

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