Medium Risk

fill_cc_order

Fill an existing open order on the CC/USDC book (taker action). If filling a SELL order: you buy CC and transfer USDC. If filling a BUY order: you sell CC and receive USDC. Partial fills supported.

Risk signalsHandles credentials or secrets (api_key)

Part of the Ai Agent Bank server.

fill_cc_order can modify Ai Agent Bank 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 fill_cc_order to create or modify resources in Ai Agent Bank. 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 fill_cc_order 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 Ai Agent Bank.

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

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

See the full Ai Agent Bank policy for all 43 tools.

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

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These attack patterns abuse exactly the kind of access fill_cc_order 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 fill_cc_order 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 fill_cc_order tool do? +

Fill an existing open order on the CC/USDC book (taker action). If filling a SELL order: you buy CC and transfer USDC. If filling a BUY order: you sell CC and receive USDC. Partial fills supported.. It is categorised as a Write tool in the Ai Agent Bank MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on fill_cc_order? +

Register the Ai Agent Bank MCP server in PolicyLayer and add a rule for fill_cc_order: 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 Ai Agent Bank. Nothing to install.

What risk level is fill_cc_order? +

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

Can I rate-limit fill_cc_order? +

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

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

fill_cc_order is provided by the Ai Agent Bank MCP server (https://tdueqhfxyojmjgactdyc.supabase.co/functions/v1/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Ai Agent Bank tool call.

Deterministic rules across all 43 Ai Agent Bank tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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