List configs in the org with id, slug, name, status, workspace, and timestamps. Use this summary view to find a slug; use get_config for the full routing, cache, retry, and target settings before updating or deleting.
AI agents call list_configs to retrieve information from Portkey Admin without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
page_size | number | — | Number of results per page (max 100) |
current_page | number | — | Page number for pagination |
Parameters from the server's own tool schema.
Even though list_configs only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
List configs in the org with id, slug, name, status, workspace, and timestamps. Use this summary view to find a slug; use get_config for the full routing, cache, retry, and target settings before updating or deleting. It is categorised as a Read tool in the Portkey Admin MCP Server, which means it retrieves data without modifying state.
list_configs accepts 2 parameters: page_size, current_page. The full parameter table on this page comes from the server's own tool schema.
Register the Portkey Admin MCP server in PolicyLayer and add a rule for list_configs: 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 Portkey Admin. Nothing to install.
list_configs 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_configs 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_configs. 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_configs is provided by the Portkey Admin MCP server (CodesWhat/portkey-admin-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.