Add a Prolog clause to the server. A clause should solely exist of a single valid Prolog rule or Prolog fact, to be used for following Prolog queries.
AI agents use add_clause to create or update resources in Prolog MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Prolog MCP Server environment.
An AI agent can call add_clause faster than any human can review — one bad instruction and it creates or modifies resources in Prolog MCP Server by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
Add a Prolog clause to the server. A clause should solely exist of a single valid Prolog rule or Prolog fact, to be used for following Prolog queries. It is categorised as a Write tool in the Prolog MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Prolog MCP Server MCP server in PolicyLayer and add a rule for add_clause: 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 Prolog MCP Server. Nothing to install.
add_clause is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the add_clause 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 add_clause. 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.
add_clause is provided by the Prolog MCP Server MCP server (wendelinism/prolog-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.