ai_tags_update

SERVERDialogbrain SOURCEhttps://api.dialogbrain.com/mcp

Medium RISK CLASS

Category Write

Parameters 61 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-saloprj-dialogbrain/ai-tags-update.md

WHAT IT DOES

What ai_tags_update does on Dialogbrain

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

Parameter	Type	Required	Description
`icon`	string	—	New emoji icon (max 10 chars, optional)
`name`	string	—	New tag name (max 100 chars, optional)
`color`	string	—	New color key. Allowed: amber, blue, green, red, purple, yellow, slate. OMIT to leave the color unchanged.
`tag_id`	integer	Yes	ID of the tag to update
`is_active`	boolean	—	Enable (true) or disable (false) the tag. OMIT to leave the active flag unchanged.
`description`	string	—	New LLM hint (max 500 chars; empty string clears it, optional)

Parameters from the server's own tool schema.

RISK

Why ai_tags_update is rated Medium

This tool modifies metadata about AI tags (cosmetic properties and toggle state) without destructive, financial, or code execution implications. Changes are reversible—tags can be updated again. The blast radius of misuse is limited to reorganizing personal tag metadata, which is low-severity. It is clearly Write rather than Read (modifies, not retrieves) or Execute (no code execution or external operations).

From the tool's definition Tool description states it can 'Update an existing personal AI tag's name, description, icon, color, or active state.' The word 'Update' combined with the ability to modify tag properties (name, description, icon, color, active state) indicates a Write…

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs ai_tags_update safely

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

ai_tags_update Rate-limited

ai_tags_update 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": {
    "ai_tags_update": {
      "limits": [
        {
          "counter": "ai_tags_update_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 Dialogbrain, apply this rule, and every ai_tags_update call is checked against it from then on.

FAQ

Questions about ai_tags_update

What does the ai_tags_update tool do? +

Update an existing personal AI tag's name, description, icon, color, or active state. When to use: - User wants to rename a tag - User wants to change a tag's icon, color, or description - User wants to enable or disable a tag Provide only the fields you want to change. At least one field is required. It is categorised as a Write tool in the Dialogbrain MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does ai_tags_update accept? +

ai_tags_update accepts 6 parameters: icon, name, color, tag_id, is_active, description. Required: tag_id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on ai_tags_update? +

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

What risk level is ai_tags_update? +

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

Can I rate-limit ai_tags_update? +

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

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

ai_tags_update is provided by the Dialogbrain MCP server (https://api.dialogbrain.com/mcp). 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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Guides

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