Create a new project to organize memories and tasks. Projects help separate different work contexts and make it easier to find relevant information.
AI agents use create_project to create or update resources in AgentCortex MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AgentCortex MCP environment.
This tool creates new data (a project) in a reversible manner. It organizes memories and tasks without executing code, deleting data, or affecting financial systems. The blast radius of misuse is minimal—a rogue agent could create many projects, but this is easily remediated by deletion or cleanup. This is a straightforward Write operation.
From the tool's definition Tool name 'create_project' and description 'Create a new project' explicitly performs creation of a new entity (a project). Description states it is for organizing information and does not indicate any destructive, financial, or code execution capabilities.
Attacks that exploit this kind of access
Create a new project to organize memories and tasks. Projects help separate different work contexts and make it easier to find relevant information. It is categorised as a Write tool in the AgentCortex MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the AgentCortex MCP server in PolicyLayer and add a rule for create_project: 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 AgentCortex MCP. Nothing to install.
create_project is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the create_project 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 create_project. 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.
create_project is provided by the AgentCortex MCP server (sage-hq/agentcortex-mcp). 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 →