hooks_intelligence_trajectory-step
Record step in trajectory for reinforcement learning Use when native Bash hooks (via Claude Code\
This record as markdown: /tools/hamza-agent-hub-252/hooks-intelligence-trajectory-step.md
What hooks_intelligence_trajectory-step does on Hamza Agent Hub 252
AI agents use hooks_intelligence_trajectory-step to create or update resources in Hamza Agent Hub 252, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Hamza Agent Hub 252 environment.
Why hooks_intelligence_trajectory-step is rated Medium
The tool records (writes) a data point into a trajectory log used for reinforcement learning. This is a Write operation as it creates/appends data reversibly. It does not delete, execute code directly, or involve financial transactions. Severity is medium because misuse could corrupt RL training data or manipulate agent learning trajectories, but it is unlikely to cause immediate irreversible harm.
From the tool's definition 'Record step in trajectory for reinforcement learning' — the tool writes/persists a trajectory step entry into a data store for RL purposes
Attacks that exploit this kind of access
The rule that runs hooks_intelligence_trajectory-step 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_trajectory-step, this is the rule to start with:
hooks_intelligence_trajectory-step 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 Hamza Agent Hub 252, apply this rule, and every hooks_intelligence_trajectory-step call is checked against it from then on.
Questions about hooks_intelligence_trajectory-step
Record step in trajectory for reinforcement learning Use when native Bash hooks (via Claude Code\. It is categorised as a Write tool in the Hamza Agent Hub 252 MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Hamza Agent Hub 252 MCP server in PolicyLayer and add a rule for hooks_intelligence_trajectory-step: 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_trajectory-step 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 hooks_intelligence_trajectory-step 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_trajectory-step. 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_trajectory-step 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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