Medium Risk

create_annotation

Add an annotation (comment) to a document. Pass quoted_text with the exact passage you want to annotate — the server will locate it automatically. Omit quoted_text to attach to the whole document. You can also provide start_offset + end_offset explicitly if needed.

Risk signalsAccepts raw HTML/template content (body)

Part of the Mkdshare DEV server.

create_annotation can modify Mkdshare DEV 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 create_annotation to create or modify resources in Mkdshare DEV. 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 create_annotation 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 Mkdshare DEV.

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

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

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These attack patterns abuse exactly the kind of access create_annotation 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 create_annotation 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 create_annotation tool do? +

Add an annotation (comment) to a document. Pass quoted_text with the exact passage you want to annotate — the server will locate it automatically. Omit quoted_text to attach to the whole document. You can also provide start_offset + end_offset explicitly if needed.. It is categorised as a Write tool in the Mkdshare DEV MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_annotation? +

Register the Mkdshare DEV MCP server in PolicyLayer and add a rule for create_annotation: 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 Mkdshare DEV. Nothing to install.

What risk level is create_annotation? +

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

Can I rate-limit create_annotation? +

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

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

create_annotation is provided by the Mkdshare DEV MCP server (https://mkdshare.dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mkdshare DEV tool call.

Deterministic rules across all 10 Mkdshare DEV tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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