retire_knowledge_article
[Write] Retire a knowledge article (mark as outdated)
This record as markdown: /tools/servicenow-mcp-server/retire-knowledge-article.md
What retire_knowledge_article does on ServiceNow MCP Server
AI agents use retire_knowledge_article to create or update resources in ServiceNow MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your ServiceNow MCP Server environment.
Why retire_knowledge_article is rated Medium
This is a Write operation because it modifies data state reversibly rather than permanently destroying it. Retiring an article is a status change, not deletion. The medium severity reflects that marking knowledge articles as outdated could mislead users relying on incorrect information sources, but the change is reversible and the blast radius is limited to documentation systems.
From the tool's definition Tool description states '[Write] Retire a knowledge article (mark as outdated)'. The action marks content as outdated/retired, which modifies the state of a knowledge article reversibly (articles can be un-retired or republished).
Attacks that exploit this kind of access
The rule that runs retire_knowledge_article safely
PolicyLayer is an MCP gateway: it sits between your AI agents and ServiceNow MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For retire_knowledge_article, this is the rule to start with:
retire_knowledge_article stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect ServiceNow MCP Server, apply this rule, and every retire_knowledge_article call is checked against it from then on.
Questions about retire_knowledge_article
[Write] Retire a knowledge article (mark as outdated). It is categorised as a Write tool in the ServiceNow MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the ServiceNow MCP Server MCP server in PolicyLayer and add a rule for retire_knowledge_article: 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 Server. Nothing to install.
retire_knowledge_article is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the retire_knowledge_article 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 retire_knowledge_article. 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.
retire_knowledge_article is provided by the ServiceNow MCP Server MCP server (@aartiq/servicenow-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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