moltrust_credits
AI agents call moltrust_credits as a supporting operation in MolTrust MCP Server workflows.
With no description available, the exact function cannot be determined. The name 'moltrust_credits' could relate to reading credit balances (Read), managing credits (Write), or potentially financial operations given the server's USDC context. Given the server deals with USDC and financial infrastructure, there is a non-trivial chance this involves financial operations, but confidence is low due to empty description.
From the tool's definition Tool description is empty and uninformative; tool name 'moltrust_credits' suggests it may relate to credits within the MolTrust system.
Attacks that exploit this kind of access
moltrust_credits. It is categorised as a Other tool in the MolTrust MCP Server MCP Server, which means it performs auxiliary operations.
Register the MolTrust MCP Server MCP server in PolicyLayer and add a rule for moltrust_credits: 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 MolTrust MCP Server. Nothing to install.
moltrust_credits is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the moltrust_credits 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 moltrust_credits. 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.
moltrust_credits is provided by the MolTrust MCP Server MCP server (pypi:moltrust-mcp-server). 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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