AI agents call task_output to retrieve information from Semaphore without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries task output logs without creating, modifying, deleting, or executing any operations. It is a straightforward read operation that has no side effects on the system or data. The severity is low because retrieving logs poses minimal risk—the tool neither modifies state nor triggers external operations.
From the tool's definition Tool name 'task_output' and description 'Get the output log of a task' indicate retrieval of existing data with no modification or execution.
Attacks that exploit this kind of access
Get the output log of a task. It is categorised as a Read tool in the Semaphore MCP Server, which means it retrieves data without modifying state.
Register the Semaphore MCP server in PolicyLayer and add a rule for task_output: 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 Semaphore. Nothing to install.
task_output 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 task_output 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 task_output. 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.
task_output is provided by the Semaphore MCP server (vitexsoftware/semaphore-mcp-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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