get_agent_ready_tasks

Get tasks queued for agent execution.

Server Quarterback bobbyrgoldsmith/quarterback
Category Read
Risk class Low
Parameters 00 required

What get_agent_ready_tasks does on Quarterback

AI agents call get_agent_ready_tasks to retrieve information from Quarterback without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_agent_ready_tasks needs a policy

This tool retrieves or queries the state of queued tasks for agent execution. It performs no mutations, deletions, or external operations—it purely fetches data. This is a straightforward Read operation with minimal security risk, as it only provides visibility into existing task state.

From the tool's definition Tool name 'get_agent_ready_tasks' and description 'Get tasks queued for agent execution' indicate a retrieval operation with no modification or side effects.

Questions about get_agent_ready_tasks

What does the get_agent_ready_tasks tool do? +

Get tasks queued for agent execution. It is categorised as a Read tool in the Quarterback MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_agent_ready_tasks? +

Register the Quarterback MCP server in PolicyLayer and add a rule for get_agent_ready_tasks: 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 Quarterback. Nothing to install.

What risk level is get_agent_ready_tasks? +

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

Can I rate-limit get_agent_ready_tasks? +

Yes. Add a rate_limit block to the get_agent_ready_tasks 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 get_agent_ready_tasks completely? +

Set action: deny in the PolicyLayer policy for get_agent_ready_tasks. 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 get_agent_ready_tasks? +

get_agent_ready_tasks is provided by the Quarterback MCP server (bobbyrgoldsmith/quarterback). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// LOOK UP ANOTHER SERVER

Every MCP server has a record like this.

Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.