retire_knowledge_article
[Write] Retire a knowledge article (mark as outdated)
This record as markdown: /tools/nowaikit-servicenow-ai-toolkit/retire-knowledge-article.md
What retire_knowledge_article does on NowAIKit — ServiceNow AI Toolkit
AI agents use retire_knowledge_article to create or update resources in NowAIKit — ServiceNow AI Toolkit, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your NowAIKit — ServiceNow AI Toolkit environment.
Why retire_knowledge_article is rated Medium
The tool modifies article metadata by marking it as outdated/retired, which is a reversible change to existing data. While it removes discoverability or active status, the article itself is not deleted and the action can be undone by restoring the article status. This fits the Write category (creates or modifies data reversibly) rather than Destructive, as retirement is a status flag change, not permanent deletion.
From the tool's definition Tool name 'retire_knowledge_article' and description '[Write] Retire a knowledge article (mark as outdated)' explicitly indicates modification of article status
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 NowAIKit — ServiceNow AI Toolkit, 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 NowAIKit — ServiceNow AI Toolkit, 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[Write] Retire a knowledge article (mark as outdated).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 NowAIKit — ServiceNow AI Toolkit MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the NowAIKit — ServiceNow AI Toolkit 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 NowAIKit — ServiceNow AI Toolkit. 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 NowAIKit — ServiceNow AI Toolkit MCP server (nowaikit). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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