Get deployment frequency, failure rate, and lead time metrics for a pipeline
AI agents call get_devops_insights to retrieve information from ServiceNow-MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns observability data about deployment pipelines. It has no capability to modify, delete, or execute actions—only to retrieve and display existing metrics. The blast radius of misuse is minimal: an AI agent could view metrics it shouldn't have access to, but cannot cause infrastructure changes or data loss.
From the tool's definition Tool retrieves DevOps metrics (deployment frequency, failure rate, lead time) without modifying any data. The verbs 'get' and 'metrics' indicate read-only data retrieval with no side effects.
Attacks that exploit this kind of access
Get deployment frequency, failure rate, and lead time metrics for a pipeline. It is categorised as a Read tool in the ServiceNow-MCP MCP Server, which means it retrieves data without modifying state.
Register the ServiceNow- MCP server in PolicyLayer and add a rule for get_devops_insights: 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 ServiceNow-MCP. Nothing to install.
get_devops_insights 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_devops_insights 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_devops_insights. 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_devops_insights is provided by the ServiceNow- MCP server (tedorigawa001/servicenow-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the 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.
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