This record as markdown: /tools/kiln/cache-model.md
What cache_model does on Kiln
AI agents call cache_model as a supporting operation in Kiln workflows.
Why cache_model is rated Low
With no description available, the tool's behavior can only be guessed from its name. 'cache_model' likely stores a 3D model in a local cache (a Write-like operation), but it could also involve reading or other side effects. Given the ambiguity, confidence is low. Severity is medium because misuse in a 3D printing context could affect print jobs or stored models, but without description, certainty is low.
From the tool's definition Tool name is 'cache_model' but description is empty and uninformative.
Attacks that exploit this kind of access
The rule that runs cache_model safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Kiln, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For cache_model, this is the rule to start with:
cache_model gets a rate cap, and everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Kiln, apply this rule, and every cache_model call is checked against it from then on.
Questions about cache_model
cache_model is a other tool on the Kiln MCP server. It is categorised as a Other tool in the Kiln MCP Server, which means it performs auxiliary operations.
Register the Kiln MCP server in PolicyLayer and add a rule for cache_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 Kiln. Nothing to install.
cache_model is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the cache_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 cache_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.
cache_model is provided by the Kiln MCP server (codeofaxel/Kiln). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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