task_results
Retrieve results from completed tasks (V2 compatible). Deprecated: Use tasks/results instead.
This record as markdown: /tools/hamza-agent-hub-252/task-results.md
What task_results does on Hamza Agent Hub 252
AI agents call task_results 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 task_results is rated Low
This tool retrieves previously completed task results without modifying, deleting, or executing anything. It is a pure read operation on existing data. The low severity reflects that accessing task results poses minimal risk—an agent retrieving its own completed work is a normal operational pattern.
From the tool's definition Tool name 'task_results' and description 'Retrieve results from completed tasks' indicate a retrieval operation with no side effects. The verb 'Retrieve' and 'V2 compatible' phrasing confirm data query semantics.
Attacks that exploit this kind of access
The rule that runs task_results 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_results, this is the rule to start with:
task_results 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 task_results call is checked against it from then on.
Questions about task_results
Retrieve results from completed tasks (V2 compatible). Deprecated: Use tasks/results instead. 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 task_results: 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.
task_results 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 task_results 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 task_results. 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.
task_results 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.
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