update_chapter
Update an existing chapter in BookStack.
This record as markdown: /tools/derron-knox-bookstack-mcp-server/update-chapter.md
What update_chapter does on BookStack MCP Server
AI agents use update_chapter to create or update resources in BookStack MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your BookStack MCP Server environment.
Why update_chapter is rated Medium
This tool modifies existing chapter content in a knowledge base system. While it changes data, the modification is reversible through subsequent updates or version control, placing it in the Write category rather than Destructive.
From the tool's definition Tool name 'update_chapter' and description 'Update an existing chapter in BookStack' indicate modification of existing data.
Attacks that exploit this kind of access
The rule that runs update_chapter safely
PolicyLayer is an MCP gateway: it sits between your AI agents and BookStack MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For update_chapter, this is the rule to start with:
update_chapter 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 BookStack MCP Server, apply this rule, and every update_chapter call is checked against it from then on.
Questions about update_chapter
Update an existing chapter in BookStack. It is categorised as a Write tool in the BookStack MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the BookStack MCP Server MCP server in PolicyLayer and add a rule for update_chapter: 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 BookStack MCP Server. Nothing to install.
update_chapter 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_chapter 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_chapter. 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_chapter is provided by the BookStack MCP Server MCP server (derron-knox/bookstack-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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