ai_filters_create

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

Medium RISK CLASS

Category Write

Parameters 32 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-filters-create.md

WHAT IT DOES

What ai_filters_create does on Dialogbrain

AI agents use ai_filters_create 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
`name`	string	Yes	Filter name — a short, human-readable label (max 100 chars)
`threshold`	number	—	Cosine similarity threshold for a message to be considered a match. Range 0.1–1.0. Default 0.50. Lower values (e.g. 0.3) are more permissive and catch more mess
`description`	string	Yes	Reference text that defines what messages should match this filter. This text is embedded as a vector and used for cosine similarity comparison against all inco

Parameters from the server's own tool schema.

RISK

Why ai_filters_create is rated Medium

This tool creates and stores a new semantic filter configuration that modifies how messages are processed in the unified inbox. While not destructive (the filter can be deleted), it is a write operation that persists state.

From the tool's definition Tool name contains 'create' and description states 'Create a new AI filter' — this irreversibly adds a new filter configuration to the system. The filter persists and affects message routing/categorization going forward.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs ai_filters_create 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_filters_create, this is the rule to start with:

ai_filters_create Rate-limited

ai_filters_create 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_filters_create": {
      "limits": [
        {
          "counter": "ai_filters_create_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_filters_create call is checked against it from then on.

FAQ

Questions about ai_filters_create

What does the ai_filters_create tool do? +

Create a new AI filter for semantic intent-based message matching. AI filters use vector embeddings (via Voyage AI) to detect whether an incoming message matches a specific intent or topic. The filter's description is embedded as a reference vector at creation time. When a message arrives, its embedding is compared against this reference using cosine similarity. The description field is the most important part — it becomes the reference embedding that all incoming messages are compared against. Write it as a clear statement of what kind of messages should match: - 'Customer asking about pricing, subscription plans, or billing' - 'User reporting a bug, crash, or unexpected behavior in the product' - 'Inbound sales lead expressing interest in purchasing or trialing' The threshold controls sensitivity: 0.5 is a balanced default, lower values (0.3) cast a wider net, higher values (0.8) require closer matches. Note: This tool calls the Voyage AI embedding API to generate the reference vector. 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_filters_create accept? +

ai_filters_create accepts 3 parameters: name, threshold, description. Required: name, description. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on ai_filters_create? +

Register the Dialogbrain MCP server in PolicyLayer and add a rule for ai_filters_create: 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_filters_create? +

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

Can I rate-limit ai_filters_create? +

Yes. Add a rate_limit block to the ai_filters_create 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_filters_create completely? +

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

ai_filters_create 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.

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