Multiply two numbers.
AI agents invoke multiply to trigger actions in Mcp Research Collective. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool performs arithmetic multiplication on two numbers. It has no data retrieval, storage, or destructive effects. 'Execute' is the closest category since it runs a computation, though the blast radius is extremely low — a misuse would only produce an incorrect numeric result.
From the tool's definition Tool name: 'multiply'; description: 'Multiply two numbers.'
Attacks that exploit this kind of access
Multiply two numbers. It is categorised as a Execute tool in the Mcp Research Collective MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mcp Research Collective MCP server in PolicyLayer and add a rule for multiply: 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 Mcp Research Collective. Nothing to install.
multiply is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the multiply 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 multiply. 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.
multiply is provided by the Mcp Research Collective MCP server (siegkat/mcp-agent-blackboard). 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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