colab_status
AI agents call colab_status to retrieve information from Mcp Colab Gpu without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Status checks are read-only operations that retrieve information about running jobs or sessions. No code execution, modification, deletion, or financial impact. Low severity because status information itself poses minimal risk even if exposed to an AI agent.
From the tool's definition Tool name 'colab_status' suggests querying execution status. Description is empty, but naming convention and sibling tools (colab_execute, colab_poll, colab_jobs) indicate this retrieves state information without side effects.
Attacks that exploit this kind of access
colab_status. It is categorised as a Read tool in the Mcp Colab Gpu MCP Server, which means it retrieves data without modifying state.
Register the Mcp Colab Gpu MCP server in PolicyLayer and add a rule for colab_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 Colab Gpu. Nothing to install.
colab_status 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 colab_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 colab_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.
colab_status is provided by the Mcp Colab Gpu MCP server (mio-github/mcp-colab-gpu). 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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