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sandboxes_promotions_plan

Run sandboxes.promotions.plan through the Appaloft application operation catalog. Shared with CLI and HTTP/API.

SERVERAppaloft SOURCE@appaloft/mcp
High RISK CLASS
Category Execute
Parameters 55 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/appaloft-mcp/sandboxes-promotions-plan.md

What sandboxes_promotions_plan does on Appaloft

AI agents invoke sandboxes_promotions_plan to trigger actions in Appaloft. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

ParameterTypeRequiredDescription
target object Yes
sandboxId string Yes
artifactId string Yes
candidatePreviewId string Yes
expectedArtifactDigest string Yes

Parameters from the server's own tool schema.

Why sandboxes_promotions_plan is rated High

The tool 'runs' an operation from an application catalog, indicating execution of an action rather than a simple read or write. 'Promotions plan' in a sandbox context likely triggers a planning or promotion pipeline that could have significant side effects. The description is vague, so confidence is moderate, but 'Run' clearly places it in the Execute category.

From the tool's definition 'Run sandboxes.promotions.plan through the Appaloft application operation catalog'

Questions about sandboxes_promotions_plan

What does the sandboxes_promotions_plan tool do? +

Run sandboxes.promotions.plan through the Appaloft application operation catalog. Shared with CLI and HTTP/API. It is categorised as a Execute tool in the Appaloft MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

What parameters does sandboxes_promotions_plan accept? +

sandboxes_promotions_plan accepts 5 parameters: target, sandboxId, artifactId, candidatePreviewId, expectedArtifactDigest. Required: target, sandboxId, artifactId, candidatePreviewId, expectedArtifactDigest. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on sandboxes_promotions_plan? +

Register the Appaloft MCP server in PolicyLayer and add a rule for sandboxes_promotions_plan: 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.

What risk level is sandboxes_promotions_plan? +

sandboxes_promotions_plan is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit sandboxes_promotions_plan? +

Yes. Add a rate_limit block to the sandboxes_promotions_plan 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 sandboxes_promotions_plan completely? +

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

sandboxes_promotions_plan 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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