Medium Risk

add-tool-annotation

Add contextual annotations to a tool in the current toolset to guide LLM usage. Annotations provide user-specific guidance, best practices, and usage notes that will be displayed with the tool

Part of the Hypertool server.

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

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Free to start. No card required.

AI agents use add-tool-annotation to create or modify resources in Hypertool. 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 add-tool-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 Hypertool.

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "add-tool-annotation": {
      "limits": [
        {
          "counter": "add-tool-annotation_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Hypertool policy for all 19 tools.

Get this rule live on your own Hypertool server in minutes. PolicyLayer enforces it on every call, before it runs.

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View all 19 tools →

These attack patterns abuse exactly the kind of access add-tool-annotation 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 add-tool-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 add-tool-annotation tool do? +

Add contextual annotations to a tool in the current toolset to guide LLM usage. Annotations provide user-specific guidance, best practices, and usage notes that will be displayed with the tool. It is categorised as a Write tool in the Hypertool MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on add-tool-annotation? +

Register the Hypertool MCP server in PolicyLayer and add a rule for add-tool-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 Hypertool. Nothing to install.

What risk level is add-tool-annotation? +

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

Can I rate-limit add-tool-annotation? +

Yes. Add a rate_limit block to the add-tool-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 add-tool-annotation completely? +

Set action: deny in the PolicyLayer policy for add-tool-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 add-tool-annotation? +

add-tool-annotation is provided by the Hypertool MCP server (toolprint/hypertool-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Hypertool tool call.

Deterministic rules across all 19 Hypertool tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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