Medium Risk

upsert_knowledge_text

Create or update a text-based knowledge entry. Use this to store free-form text (notes, prompts, ICP descriptions, etc.) that can be retrieved by key. Returns: { key, upserted, created }.

Risk signalsAccepts raw HTML/template content (content)

Part of the Agentled server.

upsert_knowledge_text can modify Agentled data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use upsert_knowledge_text to create or modify resources in Agentled. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call upsert_knowledge_text repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Agentled.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "upsert_knowledge_text": {
      "limits": [
        {
          "counter": "upsert_knowledge_text_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Agentled policy for all 119 tools.

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These attack patterns abuse exactly the kind of access upsert_knowledge_text gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so upsert_knowledge_text only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the upsert_knowledge_text tool do? +

Create or update a text-based knowledge entry. Use this to store free-form text (notes, prompts, ICP descriptions, etc.) that can be retrieved by key. Returns: { key, upserted, created }.. It is categorised as a Write tool in the Agentled MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on upsert_knowledge_text? +

Register the Agentled MCP server in PolicyLayer and add a rule for upsert_knowledge_text: 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 Agentled. Nothing to install.

What risk level is upsert_knowledge_text? +

upsert_knowledge_text is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit upsert_knowledge_text? +

Yes. Add a rate_limit block to the upsert_knowledge_text 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.

How do I block upsert_knowledge_text completely? +

Set action: deny in the PolicyLayer policy for upsert_knowledge_text. 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.

What MCP server provides upsert_knowledge_text? +

upsert_knowledge_text is provided by the Agentled MCP server (@agentled/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Agentled tool call.

Deterministic rules across all 119 Agentled tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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