read_chapter
Get details of a specific chapter by ID or name.
This record as markdown: /tools/derron-knox-bookstack-mcp-server/read-chapter.md
What read_chapter does on BookStack MCP Server
AI agents call read_chapter to retrieve information from BookStack MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why read_chapter is rated Low
This tool queries and returns chapter metadata or content without modifying, deleting, or executing any operations. It is a straightforward read operation on stored knowledge base data, posing minimal security risk when accessed by an AI agent.
From the tool's definition Tool name 'read_chapter' and description 'Get details of a specific chapter by ID or name' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
The rule that runs read_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 read_chapter, this is the rule to start with:
read_chapter is read-only, so it stays allowed. 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 read_chapter call is checked against it from then on.
Questions about read_chapter
Get details of a specific chapter by ID or name. It is categorised as a Read tool in the BookStack MCP Server MCP Server, which means it retrieves data without modifying state.
Register the BookStack MCP Server MCP server in PolicyLayer and add a rule for read_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.
read_chapter is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the read_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 read_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.
read_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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