static_artifacts_publish_payload
Run static-artifacts.publish-payload through the Appaloft application operation catalog. Shared with CLI and HTTP/API.
This record as markdown: /tools/appaloft-mcp/static-artifacts-publish-payload.md
What static_artifacts_publish_payload does on Appaloft
AI agents use static_artifacts_publish_payload to create or update resources in Appaloft, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Appaloft environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
files | array | Yes | |
metadata | object | — | |
projectId | string | Yes | |
artifactId | string | — | |
resourceId | string | Yes | |
promoteAlias | boolean | — |
Parameters from the server's own tool schema.
Why static_artifacts_publish_payload is rated Medium
An AI agent can call static_artifacts_publish_payload faster than any human can review: one bad instruction and it creates or modifies resources in Appaloft by the hundred, each call as confident as the last.
Risk signalsAccepts file system path (files[].path)
Attacks that exploit this kind of access
The rule that runs static_artifacts_publish_payload safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Appaloft, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For static_artifacts_publish_payload, this is the rule to start with:
static_artifacts_publish_payload 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Appaloft, apply this rule, and every static_artifacts_publish_payload call is checked against it from then on.
Questions about static_artifacts_publish_payload
Run static-artifacts.publish-payload through the Appaloft application operation catalog. Shared with CLI and HTTP/API. It is categorised as a Write tool in the Appaloft MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
static_artifacts_publish_payload accepts 6 parameters: files, metadata, projectId, artifactId, resourceId, promoteAlias. Required: files, projectId, resourceId. The full parameter table on this page comes from the server's own tool schema.
Register the Appaloft MCP server in PolicyLayer and add a rule for static_artifacts_publish_payload: 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 Appaloft. Nothing to install.
static_artifacts_publish_payload 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 static_artifacts_publish_payload 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 static_artifacts_publish_payload. 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.
static_artifacts_publish_payload is provided by the Appaloft MCP server (@appaloft/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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