agent_context_pack
Build and return a compact full-context substitute for a planned agent branch.
This record as markdown: /tools/mcp-control-plane/agent-context-pack.md
What agent_context_pack does on Mcp Control Plane
AI agents call agent_context_pack to retrieve information from Mcp Control Plane without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why agent_context_pack is rated Low
The tool builds and returns a context pack, which is a read/query operation that assembles and returns information without apparent side effects. No modification, execution, or deletion is indicated. Confidence is moderate because the description is brief and 'build' could imply some write side effects, but 'return a compact full-context substitute' suggests it is primarily a data retrieval/assembly operation.
From the tool's definition 'Build and return a compact full-context substitute for a planned agent branch' — retrieves/builds context data and returns it
Attacks that exploit this kind of access
The rule that runs agent_context_pack safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Control Plane, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For agent_context_pack, this is the rule to start with:
agent_context_pack 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 Mcp Control Plane, apply this rule, and every agent_context_pack call is checked against it from then on.
Questions about agent_context_pack
Build and return a compact full-context substitute for a planned agent branch. It is categorised as a Read tool in the Mcp Control Plane MCP Server, which means it retrieves data without modifying state.
Register the Mcp Control Plane MCP server in PolicyLayer and add a rule for agent_context_pack: 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 Mcp Control Plane. Nothing to install.
agent_context_pack 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 agent_context_pack 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 agent_context_pack. 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.
agent_context_pack is provided by the Mcp Control Plane MCP server (albertik322-sudo/mcp-control-plane). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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