add_constraint

A write tool on the Blend Ai MCP server.

SERVERBlend Ai SOURCEholdmybeer-gg/blend-ai

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/holdmybeer-gg-blend-ai/add-constraint.md

WHAT IT DOES

What add_constraint does on Blend Ai

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

RISK

Why add_constraint is rated Medium

An AI agent can call add_constraint faster than any human can review: one bad instruction and it creates or modifies resources in Blend Ai by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs add_constraint safely

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

add_constraint Rate-limited

add_constraint 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": {
    "add_constraint": {
      "limits": [
        {
          "counter": "add_constraint_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 Blend Ai, apply this rule, and every add_constraint call is checked against it from then on.

FAQ

Questions about add_constraint

What does the add_constraint tool do? +

add_constraint is a write tool on the Blend Ai MCP server. It is categorised as a Write tool in the Blend Ai 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_constraint? +

Register the Blend Ai MCP server in PolicyLayer and add a rule for add_constraint: 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 Blend Ai. Nothing to install.

What risk level is add_constraint? +

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

Can I rate-limit add_constraint? +

Yes. Add a rate_limit block to the add_constraint 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_constraint completely? +

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

add_constraint is provided by the Blend Ai MCP server (holdmybeer-gg/blend-ai). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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