List all Peec AI projects for the company. Returns project IDs, names, and statuses. Status values: CUSTOMER (active, ongoing monitoring), CUSTOMER_ENDED, PITCH (active demo), PITCH_ENDED (completed demo), TRIAL, TRIAL_ENDED, ONBOARDING, DELETED. Use CUSTOMER projects for current data.
AI agents call list_projects 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 retrieves project metadata with no side effects. It querying and returning data without creating, modifying, or deleting resources. The low severity reflects that exposure of project metadata poses minimal risk compared to write or destructive operations on the Peec AI platform.
From the tool's definition Tool description states 'List all Peec AI projects' and 'Returns project IDs, names, and statuses' — classic read/query operation with no modification, deletion, or execution of external operations.
Attacks that exploit this kind of access
List all Peec AI projects for the company. Returns project IDs, names, and statuses. Status values: CUSTOMER (active, ongoing monitoring), CUSTOMER_ENDED, PITCH (active demo), PITCH_ENDED (completed demo), TRIAL, TRIAL_ENDED, ONBOARDING, DELETED. Use CUSTOMER projects for current data. 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_projects: 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_projects 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_projects 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_projects. 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_projects 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.
Teams ship this data inside their own products. See what a licence covers →