AI agents call get_task_runs to retrieve information from Prefect without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves task run data from Prefect workflows. No description is available, but the naming convention strongly suggests read-only querying of workflow execution history. The 'get_' prefix aligns with standard Read category tools for monitoring and debugging workflows as described in the server's purpose. There is no indication of modification, execution, deletion, or financial operations.
From the tool's definition Tool name 'get_task_runs' follows the 'get_*' pattern consistent with other retrieval tools on the server (get_flows, get_flow_runs, get_deployments, get_work_pools). The prefix 'get_' indicates data retrieval with no side effects.
Documented attack patterns abuse exactly the kind of access get_task_runs gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Prefect, and nothing reaches the server without passing your rules. This is the rule we recommend for get_task_runs:
{
"version": "1",
"default": "deny",
"tools": {
"get_task_runs": {}
}
}get_task_runs is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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get_task_runs. It is categorised as a Read tool in the Prefect MCP Server, which means it retrieves data without modifying state.
Register the Prefect MCP server in PolicyLayer and add a rule for get_task_runs: 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 Prefect. Nothing to install.
get_task_runs 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_runs 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_runs. 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_runs is provided by the Prefect MCP server (prefecthq/prefect-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 14 Prefect tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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14 Prefect tools catalogued and risk-classified — across an index of 42,500+ MCP servers.