Medium Risk

add_labels_to_tweets

Add a label to a list of tweets. Can use an existing label by ID or create a new label by name. Either label_id or label_name must be provided.

Part of the Tweetsmash server.

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

SECURE TWEETSMASH →

Free to start. No card required.

AI agents use add_labels_to_tweets to create or modify resources in Tweetsmash. 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_labels_to_tweets 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 Tweetsmash.

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

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

See the full Tweetsmash policy for all 7 tools.

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

ENFORCE ON MY TWEETSMASH →

These attack patterns abuse exactly the kind of access add_labels_to_tweets 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_labels_to_tweets only ever does what you allow.

SECURE TWEETSMASH →

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

What does the add_labels_to_tweets tool do? +

Add a label to a list of tweets. Can use an existing label by ID or create a new label by name. Either label_id or label_name must be provided.. It is categorised as a Write tool in the Tweetsmash 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_labels_to_tweets? +

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

What risk level is add_labels_to_tweets? +

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

Can I rate-limit add_labels_to_tweets? +

Yes. Add a rate_limit block to the add_labels_to_tweets 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_labels_to_tweets completely? +

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

add_labels_to_tweets is provided by the Tweetsmash MCP server (RamyaChinnadurai/tweetsmash). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Tweetsmash tool call.

Deterministic rules across all 7 Tweetsmash 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.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.