hooks_intelligence
RuVector intelligence system status (shows REAL metrics from memory store) Use when native Bash hooks (via Claude Code\
This record as markdown: /tools/hamza-agent-hub-252/hooks-intelligence.md
What hooks_intelligence does on Hamza Agent Hub 252
AI agents call hooks_intelligence to retrieve information from Hamza Agent Hub 252 without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why hooks_intelligence is rated Low
This tool retrieves and displays intelligence system metrics and status information from an internal memory store. It is a passive read operation that queries existing data without side effects, altering state, or triggering external actions. The incomplete description ('Use when native Bash hooks (via Claude Code\') suggests monitoring/introspection rather than control.
From the tool's definition Tool name is 'hooks_intelligence' and description indicates it 'shows REAL metrics from memory store' - a retrieval/status-checking operation with no modification, deletion, or execution capability mentioned.
Attacks that exploit this kind of access
The rule that runs hooks_intelligence safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Hamza Agent Hub 252, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For hooks_intelligence, this is the rule to start with:
hooks_intelligence 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 Hamza Agent Hub 252, apply this rule, and every hooks_intelligence call is checked against it from then on.
Questions about hooks_intelligence
RuVector intelligence system status (shows REAL metrics from memory store) Use when native Bash hooks (via Claude Code\. It is categorised as a Read tool in the Hamza Agent Hub 252 MCP Server, which means it retrieves data without modifying state.
Register the Hamza Agent Hub 252 MCP server in PolicyLayer and add a rule for hooks_intelligence: 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 Hamza Agent Hub 252. Nothing to install.
hooks_intelligence 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_intelligence 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_intelligence. 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_intelligence is provided by the Hamza Agent Hub 252 MCP server (hamzachallenge3-dev/hamza-agent-hub-252). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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