This record as markdown: /tools/frontmcp/complete-task.md
What complete-task does on Frontmcp
AI agents use complete-task to create or update resources in Frontmcp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Frontmcp environment.
Why complete-task is rated Medium
This tool creates or modifies data (marking a task completed) in a reversible manner—the task status can be updated again to a different state. It does not delete data, execute arbitrary code, or have financial implications. The severity is low because marking a task complete typically has limited blast radius and is easily reversible through status updates.
From the tool's definition Tool name 'complete-task' and description 'Mark a task as completed' indicate a state change operation that modifies task data.
Attacks that exploit this kind of access
The rule that runs complete-task safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Frontmcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For complete-task, this is the rule to start with:
complete-task 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 Frontmcp, apply this rule, and every complete-task call is checked against it from then on.
Questions about complete-task
Mark a task as completed. It is categorised as a Write tool in the Frontmcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Front MCP server in PolicyLayer and add a rule for complete-task: 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 Frontmcp. Nothing to install.
complete-task 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 complete-task 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 complete-task. 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.
complete-task is provided by the Front MCP server (agentfront/frontmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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