Download a model from the Ollama registry to local storage. Use this to install recommended models before preloading them into VRAM.
Part of the Claude Token Saver server.
Free to start. No card required.
AI agents use pull_model to create or modify resources in Claude Token Saver. 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 pull_model 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 Claude Token Saver.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"pull_model": {
"limits": [
{
"counter": "pull_model_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Claude Token Saver policy for all 11 tools.
These attack patterns abuse exactly the kind of access pull_model gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Download a model from the Ollama registry to local storage. Use this to install recommended models before preloading them into VRAM.. It is categorised as a Write tool in the Claude Token Saver MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Claude Token Saver MCP server in PolicyLayer and add a rule for pull_model: 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 Claude Token Saver. Nothing to install.
pull_model is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the pull_model 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.
Set action: deny in the PolicyLayer policy for pull_model. 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.
pull_model is provided by the Claude Token Saver MCP server (claude-token-saver-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 11 Claude Token Saver 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.