progress_summary
Get human-readable V3 implementation progress summary 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/io-github-ruvnet-claude-flow/progress-summary.md
What progress_summary does on Claude Flow
AI agents call progress_summary to retrieve information from Claude Flow without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why progress_summary is rated Low
This tool retrieves or queries implementation progress data with witness/audit trail tracking across sessions. No side effects, creation, modification, deletion, code execution, or financial implications are indicated. It is purely informational (read-only) in nature.
From the tool's definition Tool name 'progress_summary' and description states 'Get human-readable V3 implementation progress summary' — a retrieval operation.
Attacks that exploit this kind of access
The rule that runs progress_summary safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Claude Flow, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For progress_summary, this is the rule to start with:
progress_summary 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 Claude Flow, apply this rule, and every progress_summary call is checked against it from then on.
Questions about progress_summary
Get human-readable V3 implementation progress summary 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 Claude Flow MCP Server, which means it retrieves data without modifying state.
Register the Claude Flow MCP server in PolicyLayer and add a rule for progress_summary: 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 Claude Flow. Nothing to install.
progress_summary 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_summary 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_summary. 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_summary is provided by the Claude Flow MCP server (claude-flow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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