knowledge_load
Process and embed documents from the local /knowledge folder into the vector store. Use this when the user has added new documents to their knowledge folder and wants to make them searchable. Set force_reload=True to reprocess all files regardless of whether they've changed.
This record as markdown: /tools/0xcjt-templonixlite/knowledge-load.md
What knowledge_load does on Templonix Lite MCP Server
AI agents use knowledge_load to create or update resources in Templonix Lite MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Templonix Lite MCP Server environment.
Why knowledge_load is rated Medium
This tool reads local files and writes/upserts their embeddings into a vector store. It modifies the vector store state (creating or updating embeddings), making it a Write operation. It is reversible in principle (embeddings can be re-generated or removed), so it does not qualify as Destructive.
From the tool's definition 'Process and embed documents from the local /knowledge folder into the vector store' and 'reprocess all files regardless of whether they've changed'
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
The rule that runs knowledge_load safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Templonix Lite MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For knowledge_load, this is the rule to start with:
knowledge_load stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Templonix Lite MCP Server, apply this rule, and every knowledge_load call is checked against it from then on.
Questions about knowledge_load
Process and embed documents from the local /knowledge folder into the vector store. Use this when the user has added new documents to their knowledge folder and wants to make them searchable. Set force_reload=True to reprocess all files regardless of whether they've changed. It is categorised as a Write tool in the Templonix Lite MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Templonix Lite MCP Server MCP server in PolicyLayer and add a rule for knowledge_load: 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 Templonix Lite MCP Server. Nothing to install.
knowledge_load 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 knowledge_load 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 knowledge_load. 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.
knowledge_load is provided by the Templonix Lite MCP Server MCP server (0xcjt/templonixlite). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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