Fund the billing credit account by sending tokens from the wallet. Defaults to funding the sender
AI agents use fund_credit to commit financial operations through Manifest MCP — usually the final step of a payment, billing, or trading workflow. A call moves real money.
This tool moves tokens (cryptocurrency/on-chain assets) from a wallet to a billing credit account, which constitutes a financial transaction. Misuse could result in unintended transfer of funds, making it critical severity.
From the tool's definition Fund the billing credit account by sending tokens from the wallet
Attacks that exploit this kind of access
Fund the billing credit account by sending tokens from the wallet. Defaults to funding the sender. It is categorised as a Financial tool in the Manifest MCP MCP Server, which means it involves financial transactions. Block by default and require explicit approval.
Register the Manifest MCP server in PolicyLayer and add a rule for fund_credit: 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 Manifest MCP. Nothing to install.
fund_credit is a Financial tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the fund_credit 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.
Set action: deny in the PolicyLayer policy for fund_credit. 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.
fund_credit is provided by the Manifest MCP server (manifest-network/manifest-mcp-mono). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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