restore_knowledge_document
Restore a previously deleted knowledge document.
This record as markdown: /tools/io-favcrm-favcrm/restore-knowledge-document.md
What restore_knowledge_document does on FavCRM
AI agents use restore_knowledge_document to create or update resources in FavCRM, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your FavCRM environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
documentId | string | Yes | Knowledge document ID |
Parameters from the server's own tool schema.
Why restore_knowledge_document is rated Medium
Restoration of deleted data is a reversible write operation—it modifies the system state by recovering previously deleted knowledge documents. While the blast radius is moderate (could restore sensitive or outdated information inadvertently), it is not destructive (the original deletion remains possible) and not financial.
From the tool's definition Tool name 'restore_knowledge_document' and description 'Restore a previously deleted knowledge document' indicate recovery/restoration of data state.
Attacks that exploit this kind of access
The rule that runs restore_knowledge_document safely
PolicyLayer is an MCP gateway: it sits between your AI agents and FavCRM, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For restore_knowledge_document, this is the rule to start with:
restore_knowledge_document 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 FavCRM, apply this rule, and every restore_knowledge_document call is checked against it from then on.
Questions about restore_knowledge_document
Restore a previously deleted knowledge document. It is categorised as a Write tool in the FavCRM MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
restore_knowledge_document accepts 1 parameter: documentId. Required: documentId. The full parameter table on this page comes from the server's own tool schema.
Register the FavCRM MCP server in PolicyLayer and add a rule for restore_knowledge_document: 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 FavCRM. Nothing to install.
restore_knowledge_document 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 restore_knowledge_document 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 restore_knowledge_document. 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.
restore_knowledge_document is provided by the FavCRM MCP server (https://api.favcrm.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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