AI agents call ticket_get to retrieve information from Tpm without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The 'get' suffix strongly suggests a retrieval operation that queries existing ticket data without modification. While the empty description reduces confidence slightly, the consistent naming pattern across sibling tools and the project management domain context support classifying this as a Read operation with no destructive side effects.
From the tool's definition Tool name 'ticket_get' follows read-only naming convention (get/fetch pattern). Server context shows it manages projects and tasks locally via SQLite.
Attacks that exploit this kind of access
ticket_get. It is categorised as a Read tool in the Tpm MCP Server, which means it retrieves data without modifying state.
Register the Tpm MCP server in PolicyLayer and add a rule for ticket_get: 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.
ticket_get 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 ticket_get 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 ticket_get. 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.
ticket_get 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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