k1_stand
Bring the K1 from any pose to a stable standing pose.
This record as markdown: /tools/market-execution-execution-market/k1-stand.md
What k1_stand does on Execution Market
AI agents invoke k1_stand to trigger actions in Execution Market. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why k1_stand is rated High
This tool triggers a physical/robotic action — commanding a robot (K1) to transition to a standing pose. This constitutes executing an external operation with real-world physical effects. Severity is medium because misuse could cause physical harm or equipment damage, though it's a stabilizing action rather than a destructive one.
From the tool's definition Bring the K1 from any pose to a stable standing pose
Attacks that exploit this kind of access
The rule that runs k1_stand safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Execution Market, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For k1_stand, this is the rule to start with:
k1_stand stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Execution Market, apply this rule, and every k1_stand call is checked against it from then on.
Questions about k1_stand
Bring the K1 from any pose to a stable standing pose. It is categorised as a Execute tool in the Execution Market MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Execution Market MCP server in PolicyLayer and add a rule for k1_stand: 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 Execution Market. Nothing to install.
k1_stand is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the k1_stand 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 k1_stand. 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.
k1_stand is provided by the Execution Market MCP server (https://mcp.execution.market/mcp/). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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