get_task_status
Check the current status of a task.
This record as markdown: /tools/0rcanetworkalgorand-dojo-mcp/get-task-status.md
What get_task_status does on 0rca Dojo MCP Server
AI agents call get_task_status to retrieve information from 0rca Dojo MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_task_status is rated Low
This tool retrieves the status of an existing task, which is a read-only operation with no side effects. It does not create, modify, delete data, nor does it execute code or trigger financial transactions. The blast radius of misuse is minimal—an agent could only view task statuses, not alter them.
From the tool's definition Tool name 'get_task_status' and description 'Check the current status of a task' indicate a query operation that retrieves status information without modifying, deleting, or executing external operations.
Attacks that exploit this kind of access
The rule that runs get_task_status safely
PolicyLayer is an MCP gateway: it sits between your AI agents and 0rca Dojo MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_task_status, this is the rule to start with:
get_task_status 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 0rca Dojo MCP Server, apply this rule, and every get_task_status call is checked against it from then on.
Questions about get_task_status
Check the current status of a task. It is categorised as a Read tool in the 0rca Dojo MCP Server MCP Server, which means it retrieves data without modifying state.
Register the 0rca Dojo MCP Server MCP server in PolicyLayer and add a rule for get_task_status: 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 0rca Dojo MCP Server. Nothing to install.
get_task_status 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 get_task_status 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 get_task_status. 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.
get_task_status is provided by the 0rca Dojo MCP Server MCP server (0rcanetworkalgorand/dojo_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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