List AI chat interactions tracked by Peec AI. Returns up to limit results (default: 100). Recommended: use date filters to scope results. Returns chat IDs, prompt/model refs, and dates. Without date filters, returns all chats.
AI agents call list_chats to retrieve information from Peecai without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves historical chat data without creating, modifying, deleting, or executing any operations. It is a straightforward read operation that retrieves metadata about existing chat interactions. The low severity reflects that unauthorized access would expose chat history but not enable modifications or external operations.
From the tool's definition Tool name is 'list_chats' and description states it 'List AI chat interactions' and 'Returns chat IDs, prompt/model refs, and dates.' The verb 'list' combined with 'returns' data indicates a retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
List AI chat interactions tracked by Peec AI. Returns up to limit results (default: 100). Recommended: use date filters to scope results. Returns chat IDs, prompt/model refs, and dates. Without date filters, returns all chats. It is categorised as a Read tool in the Peecai MCP Server, which means it retrieves data without modifying state.
Register the Peecai MCP server in PolicyLayer and add a rule for list_chats: 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 Peecai. Nothing to install.
list_chats 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_chats 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_chats. 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_chats is provided by the Peecai MCP server (mcp-server-peecai). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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