Build the knowledge graph from the vault. Parses all wikilinks, tags, and computes backlinks. Must be called before using other graph/context tools.
AI agents invoke graph.build to trigger actions in Knowledge To Action. 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.
graph.build triggers real processes with real consequences. An agent gone sideways doesn't fire it once — it starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.
Attacks that exploit this kind of access
Build the knowledge graph from the vault. Parses all wikilinks, tags, and computes backlinks. Must be called before using other graph/context tools. It is categorised as a Execute tool in the Knowledge To Action MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Knowledge To Action MCP server in PolicyLayer and add a rule for graph.build: 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 Knowledge To Action. Nothing to install.
graph.build 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 graph.build 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 graph.build. 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.
graph.build is provided by the Knowledge To Action MCP server (tac0de/knowledge-to-action-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.