This record as markdown: /tools/ashlesh-t-cognirepo/context-pack.md
What context_pack does on CogniRepo
AI agents call context_pack to retrieve information from CogniRepo without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why context_pack is rated Low
Given the server's purpose (persistent memory and context), 'context_pack' most likely retrieves and packages stored context/memory data for the AI agent. The pattern of sibling tools and the lack of destructive/write indicators in the name suggest this is a Read operation. Empty description reduces confidence, but functional context strongly suggests data retrieval with no side effects.
From the tool's definition Tool name 'context_pack' suggests retrieval/packaging of context data. Description is empty, limiting direct evidence. Sibling tools like 'get_last_context', 'get_session_brief', 'episodic_search' are all Read operations that retrieve memory/context.
Attacks that exploit this kind of access
The rule that runs context_pack safely
PolicyLayer is an MCP gateway: it sits between your AI agents and CogniRepo, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For context_pack, this is the rule to start with:
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 CogniRepo, apply this rule, and every context_pack call is checked against it from then on.
Questions about context_pack
context_pack is a read tool on the CogniRepo MCP server. It is categorised as a Read tool in the CogniRepo MCP Server, which means it retrieves data without modifying state.
Register the CogniRepo MCP server in PolicyLayer and add a rule for 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 CogniRepo. Nothing to install.
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 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 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.
context_pack is provided by the CogniRepo MCP server (pypi:cognirepo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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