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/hamza-agent-hub-252/progress-summary.md
What progress_summary does on Hamza Agent Hub 252
AI agents call progress_summary to retrieve information from Hamza Agent Hub 252 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 and displays progress tracking data with audit trail context. It is explicitly positioned as an alternative to TodoWrite for *reading* cross-session completion status, not for writing or modifying state. The mention of 'witness/audit trail' indicates it accesses historical records rather than altering them. No side effects or irreversible actions are implied.
From the tool's definition Tool name 'progress_summary' and description states 'Get human-readable V3 implementation progress summary' — purely retrieval of progress/status information. No modification, deletion, or execution of external operations described.
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 Hamza Agent Hub 252, 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 Hamza Agent Hub 252, 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 Hamza Agent Hub 252 MCP Server, which means it retrieves data without modifying state.
Register the Hamza Agent Hub 252 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 Hamza Agent Hub 252. 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 Hamza Agent Hub 252 MCP server (hamzachallenge3-dev/hamza-agent-hub-252). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Hamza Agent Hub 252, and thousands of servers like it.
This server
Across the catalogue