progress_watch
Get current watch status for progress monitoring Use when native TodoWrite is wrong because you need cross-session goal-completion tracking with witness/audit trail. For in-session checklists, native TodoWrite is simpler.
This record as markdown: /tools/ruflo/progress-watch.md
What progress_watch does on Ruflo
AI agents call progress_watch to retrieve information from Ruflo without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why progress_watch is rated Low
This tool retrieves monitoring data and audit trail information about progress/goal completion across sessions. It has no capability to modify, delete, execute code, or move money. The reference to 'witness/audit trail' confirms it is a read-only observation mechanism. Even though it tracks state across sessions, it only observes and reports rather than changing system behavior.
From the tool's definition Tool description states 'Get current watch status' and is used 'for progress monitoring' and 'goal-completion tracking'. The verb 'Get' and the purpose of retrieving status information with an audit trail indicates a query/retrieval operation.
Attacks that exploit this kind of access
The rule that runs progress_watch safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ruflo, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For progress_watch, this is the rule to start with:
progress_watch is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Ruflo, apply this rule, and every progress_watch call is checked against it from then on.
Questions about progress_watch
Get current watch status for progress monitoring Use when native TodoWrite is wrong because you need cross-session goal-completion tracking with witness/audit trail. For in-session checklists, native TodoWrite is simpler. It is categorised as a Read tool in the Ruflo MCP Server, which means it retrieves data without modifying state.
Register the Ruflo MCP server in PolicyLayer and add a rule for progress_watch: 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 Ruflo. Nothing to install.
progress_watch 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 progress_watch 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 progress_watch. 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.
progress_watch is provided by the Ruflo MCP server (ruvnet/ruflo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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