model.approve_source

Approve a model URL, license, and expected digest without downloading it.

SERVERVisionmcp SOURCEjoshuahickscorp/visionmcp

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/visionmcp/model.approve-source.md

WHAT IT DOES

What model.approve_source does on Visionmcp

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

RISK

Why model.approve_source is rated Medium

This tool writes/commits an approval decision (URL, license, digest) to the system's configuration or registry. It creates a persistent record of approval without executing code or destroying data. Misuse could approve a malicious model source, hence medium severity.

From the tool's definition Approve a model URL, license, and expected digest without downloading it

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs model.approve_source safely

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

model.approve_source Rate-limited

model.approve_source 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": {
    "model.approve_source": {
      "limits": [
        {
          "counter": "model.approve_source_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 Visionmcp, apply this rule, and every model.approve_source call is checked against it from then on.

FAQ

Questions about model.approve_source

What does the model.approve_source tool do? +

Approve a model URL, license, and expected digest without downloading it. It is categorised as a Write tool in the Visionmcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on model.approve_source? +

Register the Vision MCP server in PolicyLayer and add a rule for model.approve_source: 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 Visionmcp. Nothing to install.

What risk level is model.approve_source? +

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

Can I rate-limit model.approve_source? +

Yes. Add a rate_limit block to the model.approve_source 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 model.approve_source completely? +

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

model.approve_source is provided by the Vision MCP server (joshuahickscorp/visionmcp). 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

Govern customer-ops agents →Argument validation →Scoped token →