hooks_explain
Explain routing decision with full transparency Use when native Bash hooks (via Claude Code\
This record as markdown: /tools/io-github-ruvnet-claude-flow/hooks-explain.md
What hooks_explain does on Claude Flow
AI agents call hooks_explain to retrieve information from Claude Flow without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why hooks_explain is rated Low
This tool retrieves and presents information about existing routing decisions. It does not create, modify, delete, or execute external operations. The transparency/explain functionality is inherently read-only, making it a low-severity information retrieval tool.
From the tool's definition The tool is named 'hooks_explain' and its description indicates it 'Explain[s] routing decision with full transparency'.
Attacks that exploit this kind of access
The rule that runs hooks_explain safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Claude Flow, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For hooks_explain, this is the rule to start with:
hooks_explain 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 Claude Flow, apply this rule, and every hooks_explain call is checked against it from then on.
Questions about hooks_explain
Explain routing decision with full transparency Use when native Bash hooks (via Claude Code\. It is categorised as a Read tool in the Claude Flow MCP Server, which means it retrieves data without modifying state.
Register the Claude Flow MCP server in PolicyLayer and add a rule for hooks_explain: 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 Claude Flow. Nothing to install.
hooks_explain 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 hooks_explain 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 hooks_explain. 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.
hooks_explain is provided by the Claude Flow MCP server (claude-flow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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