task_summary

SERVERHamza Agent Hub 252 SOURCEhamzachallenge3-dev/hamza-agent-hub-252

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/hamza-agent-hub-252/task-summary.md

WHAT IT DOES

What task_summary does on Hamza Agent Hub 252

AI agents call task_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.

RISK

Why task_summary is rated Low

This tool retrieves and summarizes task information without modifying, executing, or deleting data. It is a straightforward read operation on task metadata. The low severity reflects minimal blast radius: misuse would only expose task information, not enable destructive or financial actions.

From the tool's definition Tool name 'task_summary' and description explicitly state 'Get a summary of all tasks by status'—a read-only retrieval operation.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs task_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 task_summary, this is the rule to start with:

task_summary Allowed

task_summary is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "task_summary": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Hamza Agent Hub 252, apply this rule, and every task_summary call is checked against it from then on.

FAQ

Questions about task_summary

What does the task_summary tool do? +

Get a summary of all tasks by status Use when native TodoWrite is wrong because you need cross-session task persistence, agent assignment, dependency tracking, or completion analytics in the .swarm/memory.db. For in-session checklists native TodoWrite is simpler and faster. It is categorised as a Read tool in the Hamza Agent Hub 252 MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on task_summary? +

Register the Hamza Agent Hub 252 MCP server in PolicyLayer and add a rule for task_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.

What risk level is task_summary? +

task_summary is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit task_summary? +

Yes. Add a rate_limit block to the task_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.

How do I block task_summary completely? +

Set action: deny in the PolicyLayer policy for task_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.

What MCP server provides task_summary? +

task_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.

KEEP EXPLORING

More on Hamza Agent Hub 252, and thousands of servers like it.

This server

All 581 Hamza Agent Hub 252 tools →

Across the catalogue

get_summary on ACE-MCP → The MCP Attack Database →

Guides

Roll out MCP under one policy →Data exfiltration →MCP token cost →