AI agents use task_create to create or update resources in Tpm — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Tpm environment.
This tool creates new task records, which is a reversible write operation. It modifies the project management database by adding entries but does not execute arbitrary code, delete data, or commit financial obligations.
From the tool's definition Tool name 'task_create' combined with server context showing task management (alongside task_get, project_create, note_add). The name and sibling tools indicate creation of new records in the local SQLite database.
Attacks that exploit this kind of access
task_create. It is categorised as a Write tool in the Tpm MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Tpm MCP server in PolicyLayer and add a rule for task_create: 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 Tpm. Nothing to install.
task_create 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 task_create 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 task_create. 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.
task_create is provided by the Tpm MCP server (urjitbhatia/tpm-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.
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