This record as markdown: /tools/ashlesh-t-cognirepo/list-org-context.md
What list_org_context does on CogniRepo
AI agents call list_org_context 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 list_org_context is rated Low
The tool name pattern 'list_*' is characteristic of read operations that enumerate or fetch data without side effects. Given the server's focus on memory retrieval and context management, this tool likely retrieves stored organizational context.
From the tool's definition Tool name 'list_org_context' suggests listing/retrieving organizational context data. The 'list_' prefix is a strong indicator of a read-only operation that queries and retrieves existing data.
Attacks that exploit this kind of access
The rule that runs list_org_context 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 list_org_context, this is the rule to start with:
list_org_context 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 list_org_context call is checked against it from then on.
Questions about list_org_context
list_org_context 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 list_org_context: 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.
list_org_context 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 list_org_context 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 list_org_context. 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.
list_org_context 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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