trigger-progress
Send a progress/log notification to the client
This record as markdown: /tools/frontmcp/trigger-progress.md
What trigger-progress does on Frontmcp
AI agents invoke trigger-progress to trigger actions in Frontmcp. 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 trigger-progress is rated High
This tool executes an operation that sends data to the client and may trigger client-side effects (UI updates, logging, etc.). While it does not modify persistent data or run arbitrary code, it represents an executable action with side effects.
From the tool's definition "Send a progress/log notification to the client" — the tool triggers an action (sending a notification) whose effects depend on the notification content and client-side handling.
Attacks that exploit this kind of access
The rule that runs trigger-progress 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 trigger-progress, this is the rule to start with:
trigger-progress 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 Frontmcp, apply this rule, and every trigger-progress call is checked against it from then on.
Questions about trigger-progress
Send a progress/log notification to the client. It is categorised as a Execute tool in the Frontmcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Front MCP server in PolicyLayer and add a rule for trigger-progress: 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.
trigger-progress 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 trigger-progress 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 trigger-progress. 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.
trigger-progress 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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