AI agents call get_plan to retrieve information from Tpc without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves a plan object by its identifier. There is no modification, deletion, execution, or financial impact. The only risk is potential information disclosure if the plan contains sensitive data, but that is a Read-level concern. Severity is low because the blast radius of accessing a single plan is limited and does not cause irreversible changes.
From the tool's definition Tool description states 'Get a specific plan by ID' — this is a retrieval operation with no side effects. The verb 'get' and the retrieval context indicate data querying only.
Attacks that exploit this kind of access
Get a specific plan by ID. It is categorised as a Read tool in the Tpc MCP Server, which means it retrieves data without modifying state.
Register the Tpc MCP server in PolicyLayer and add a rule for get_plan: 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 Tpc. Nothing to install.
get_plan 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 get_plan 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 get_plan. 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.
get_plan is provided by the Tpc MCP server (suttonwilliamd/tpc-server). 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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