plan_status
Read one plan in full (steps, status, evidence).
This record as markdown: /tools/mcp-hands/plan-status.md
What plan_status does on Mcp Hands
AI agents use plan_status to create or update resources in Mcp Hands, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Hands environment.
Why plan_status is rated Medium
An AI agent can call plan_status faster than any human can review: one bad instruction and it creates or modifies resources in Mcp Hands by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs plan_status safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Hands, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For plan_status, this is the rule to start with:
plan_status stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Hands, apply this rule, and every plan_status call is checked against it from then on.
Questions about plan_status
Read one plan in full (steps, status, evidence). It is categorised as a Write tool in the Mcp Hands MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mcp Hands MCP server in PolicyLayer and add a rule for plan_status: 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 Mcp Hands. Nothing to install.
plan_status 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 plan_status 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 plan_status. 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.
plan_status is provided by the Mcp Hands MCP server (huocai250/mcp-hands). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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