Medium Risk

editDocument

Parse a document, apply JSON edit deltas, and return the modified blocks as JSON (same format as POST /api/v1/parse with outputFormat=blocks). filepath: uploaded file path (multipart upload). deltas: JSON array of edit operations — see edit_apply.ail for format. Empty array or "" → round-trip (pa...

Risk signalsHandles credentials or secrets (apiKey) · Accepts file system path (filepath)

Part of the AILANG Parse server.

editDocument can modify AILANG Parse 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 editDocument to create or modify resources in AILANG Parse. 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 editDocument 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 AILANG Parse.

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

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

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

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so editDocument 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 editDocument tool do? +

Parse a document, apply JSON edit deltas, and return the modified blocks as JSON (same format as POST /api/v1/parse with outputFormat=blocks). filepath: uploaded file path (multipart upload). deltas: JSON array of edit operations — see edit_apply.ail for format. Empty array or "" → round-trip (parse + return unchanged blocks). apiKey: dp_ API key. Response: modified blocks JSON. Use the AILANG SDK or CLI to generate a file from the returned blocks (e.g. ailang run ... --convert output.docx). Only deterministic office formats are supported (docx, pptx, xlsx, odt, odp, ods). AI-required formats (pdf, image, audio, video) are rejected.. It is categorised as a Write tool in the AILANG Parse MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on editDocument? +

Register the AILANG Parse MCP server in PolicyLayer and add a rule for editDocument: 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 AILANG Parse. Nothing to install.

What risk level is editDocument? +

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

Can I rate-limit editDocument? +

Yes. Add a rate_limit block to the editDocument 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 editDocument completely? +

Set action: deny in the PolicyLayer policy for editDocument. 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 editDocument? +

editDocument is provided by the AILANG Parse MCP server (@ailang/parse). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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