save_document

保存当前文档项目到 JSON 文件。path: 保存路径（可选，默认原路径）。

SERVERDeepdepcat SOURCEhanmirage/deepdepcat

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/deepdepcat/save-document.md

WHAT IT DOES

What save_document does on Deepdepcat

AI agents use save_document to create or update resources in Deepdepcat, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Deepdepcat environment.

RISK

Why save_document is rated Medium

Writes document data to file reversibly; no deletion or execution involved. Medium severity due to potential data overwrite.

From the tool's definition save_document, 保存 (save), JSON file, optional path parameter

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs save_document safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Deepdepcat, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For save_document, this is the rule to start with:

save_document Rate-limited

save_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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "save_document": {
      "limits": [
        {
          "counter": "save_document_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Deepdepcat, apply this rule, and every save_document call is checked against it from then on.

FAQ

Questions about save_document

What does the save_document tool do? +

保存当前文档项目到 JSON 文件。path: 保存路径（可选，默认原路径）。. It is categorised as a Write tool in the Deepdepcat MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on save_document? +

Register the Deepdepcat MCP server in PolicyLayer and add a rule for save_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 Deepdepcat. Nothing to install.

What risk level is save_document? +

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

Can I rate-limit save_document? +

Yes. Add a rate_limit block to the save_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.

How do I block save_document completely? +

Set action: deny in the PolicyLayer policy for save_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.

What MCP server provides save_document? +

save_document is provided by the Deepdepcat MCP server (hanmirage/deepdepcat). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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