Medium Risk

create_batch_proposals

Create proposals to multiple companies at once (max 10). Same proposal is sent to each company. Args: api_key: Your agent API key (starts with 'bzcl_sk_') company_ids: List of company UUIDs (max 10, must be verified) customer_email: Email of the end customer customer_name: Name of the end custome...

Risk signalsHandles credentials or secrets (api_key)

Part of the BizClaw Business Directory MCP server.

create_batch_proposals can modify BizClaw Business Directory MCP 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 create_batch_proposals to create or modify resources in BizClaw Business Directory MCP. 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 create_batch_proposals 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 BizClaw Business Directory MCP.

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

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

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

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so create_batch_proposals 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 create_batch_proposals tool do? +

Create proposals to multiple companies at once (max 10). Same proposal is sent to each company. Args: api_key: Your agent API key (starts with 'bzcl_sk_') company_ids: List of company UUIDs (max 10, must be verified) customer_email: Email of the end customer customer_name: Name of the end customer description: What the customer needs proposal_type: 'standard' or 'custom' (default: 'custom') Returns: List of created proposals and any errors.. It is categorised as a Write tool in the BizClaw Business Directory MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_batch_proposals? +

Register the BizClaw Business Directory MCP server in PolicyLayer and add a rule for create_batch_proposals: 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 BizClaw Business Directory MCP. Nothing to install.

What risk level is create_batch_proposals? +

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

Can I rate-limit create_batch_proposals? +

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

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

create_batch_proposals is provided by the BizClaw Business Directory MCP server (https://bizclaw.xyz/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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