AI agents use update_source to create or update resources in Llm Wiki — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Llm Wiki environment.
This tool modifies existing data (updates a source file and rebuilds wiki pages) but does not irreversibly delete data nor execute arbitrary code—it performs a bounded write operation within the wiki system. The partial rebuild scope and reversibility of updates classify it as Write rather than Execute or Destructive.
From the tool's definition Tool name 'update_source' and description indicate it updates an ingested raw file and partially rebuilds related wiki pages.
Attacks that exploit this kind of access
更新一个已 ingest 的原始文件,并局部重建相关 wiki 页面。. It is categorised as a Write tool in the Llm Wiki MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Llm Wiki MCP server in PolicyLayer and add a rule for update_source: 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 Llm Wiki. Nothing to install.
update_source 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 update_source 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 update_source. 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.
update_source is provided by the Llm Wiki MCP server (quick-sort/llm-wiki-mcp). 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.
Teams ship this data inside their own products. See what a licence covers →