AI agents call get_job_status to retrieve information from Smartsheet MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries the status of an existing batch analysis job, which is a read-only operation. It retrieves information about a job's progress or state without creating, modifying, deleting, or executing any actions. The blast radius is minimal as it only returns status information.
From the tool's definition Tool name 'get_job_status' and description 'Get the status of a batch analysis job' indicate a retrieval/query operation with no data modification or side effects.
Documented attack patterns abuse exactly the kind of access get_job_status gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Smartsheet MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_job_status:
{
"version": "1",
"default": "deny",
"tools": {
"get_job_status": {}
}
}get_job_status is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get the status of a batch analysis job. It is categorised as a Read tool in the Smartsheet MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Smartsheet MCP Server MCP server in PolicyLayer and add a rule for get_job_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 Smartsheet MCP Server. Nothing to install.
get_job_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_job_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_job_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_job_status is provided by the Smartsheet MCP Server MCP server (terilios/smartsheet-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Smartsheet MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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34 Smartsheet MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.