Low Risk

fund_task

ESCROW FLOW ONLY. Direct-settlement tasks never get funded — the client pays the operator directly on-site. Calling this on a direct-settlement task returns 400. Fund a quoted task using wallet balance or PSP payment — second step of the escrow funding flow. Precondition: task must be in Quoted s...

Risk signalsHandles credentials or secrets (apiKey)

Part of the Molt2Meet server.

fund_task is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call fund_task to retrieve information from Molt2Meet without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though fund_task only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "fund_task": {}
  }
}

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

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the fund_task tool do? +

ESCROW FLOW ONLY. Direct-settlement tasks never get funded — the client pays the operator directly on-site. Calling this on a direct-settlement task returns 400. Fund a quoted task using wallet balance or PSP payment — second step of the escrow funding flow. Precondition: task must be in Quoted status AND settlementMode='escrow'. If not, call request_task_quote first. Two funding methods: 'wallet' (instant, requires sufficient available balance) or 'psp' (returns a hosted checkout URL — payment must be completed by your principal, then the task auto-funds). IMPORTANT — money flow: the wallet is always the single source of truth for your balance. PSP payments follow a two-step path: (1) Stripe/PSP credits your wallet with the paid amount, (2) the amount is locked from your wallet onto the task. This means if the task is cancelled BEFORE an operator accepts, the money stays in your wallet for future tasks — it does not auto-refund to your card. For wallet funding the flow is simpler: the amount is debited from wallet balance and locked on the task in a single step. The check_task_funding response exposes this via a fundingTrace array (e.g. ["psp_payment_received","wallet_credited","task_locked"]). Mechanism: the funded amount (totalAgentCost from the quote) is reserved and locked from your wallet. Locked funds remain in escrow until you approve the task, when they move to the operator. Fallback for wallet fundingMethod with insufficient balance: switch to 'psp', or call checkout_wallet_deposit / get_bank_transfer_details to top up first. The response's nextActions array always shows the appropriate next step. Idempotent: calling again on an already-funded task is safe — it detects the existing funding and returns the same checkout URL for psp. Next: publish_task after wallet funding. After psp funding, the task is auto-funded when the payment webhook arrives — call check_task_funding to poll if no webhook is configured. Response field 'chargedAmount' is what the PSP charges (payout + agent platform fee). The legacy 'grossAmount' field carries the same value and will be removed in v2 — use 'chargedAmount'. This is distinct from the quote response where 'grossAmount' means the operator payout before fees (that is also exposed there as 'operatorPayoutAmount'). Requires authentication.. It is categorised as a Read tool in the Molt2Meet MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on fund_task? +

Register the Molt2Meet MCP server in PolicyLayer and add a rule for fund_task: 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 Molt2Meet. Nothing to install.

What risk level is fund_task? +

fund_task is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit fund_task? +

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

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

fund_task is provided by the Molt2Meet MCP server (https://molt.molt2meet.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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