deployments_timeline_stream
Read deployments.timeline.stream through the Appaloft application operation catalog. Shared with CLI and HTTP/API.
This record as markdown: /tools/appaloft-mcp/deployments-timeline-stream.md
What deployments_timeline_stream does on Appaloft
AI agents call deployments_timeline_stream to retrieve information from Appaloft without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
kinds | array | — | |
limit | integer | — | |
cursor | string | — | |
follow | object | — | |
sources | array | — | |
deploymentId | string | Yes | |
untilTerminal | object | — | |
includeHistory | object | — |
Parameters from the server's own tool schema.
Why deployments_timeline_stream is rated Low
Even though deployments_timeline_stream only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs deployments_timeline_stream 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 deployments_timeline_stream, this is the rule to start with:
deployments_timeline_stream is read-only, so it stays allowed. 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 deployments_timeline_stream call is checked against it from then on.
Questions about deployments_timeline_stream
Read deployments.timeline.stream through the Appaloft application operation catalog. Shared with CLI and HTTP/API. It is categorised as a Read tool in the Appaloft MCP Server, which means it retrieves data without modifying state.
deployments_timeline_stream accepts 8 parameters: kinds, limit, cursor, follow, sources, deploymentId, untilTerminal, includeHistory. Required: deploymentId. 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 deployments_timeline_stream: 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.
deployments_timeline_stream is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the deployments_timeline_stream 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 deployments_timeline_stream. 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.
deployments_timeline_stream 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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