deploy_tokens_list
Read deploy-tokens.list through the Appaloft application operation catalog. Shared with CLI and HTTP/API.
This record as markdown: /tools/appaloft-mcp/deploy-tokens-list.md
What deploy_tokens_list does on Appaloft
AI agents call deploy_tokens_list 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 |
|---|---|---|---|
limit | integer | — | |
status | string | — | |
resourceId | string | — | |
organizationId | string | Yes | |
repositoryFullName | string | — |
Parameters from the server's own tool schema.
Why deploy_tokens_list is rated Low
The tool retrieves/lists deploy tokens without modifying or deleting them. However, deploy tokens are sensitive credentials, so even reading them carries medium concern, but the operation itself is categorized as Read. Severity is medium because exposure of deploy tokens could allow unauthorized deployments.
From the tool's definition 'Read deploy-tokens.list' explicitly states this is a read operation that lists deploy tokens
Attacks that exploit this kind of access
The rule that runs deploy_tokens_list 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 deploy_tokens_list, this is the rule to start with:
deploy_tokens_list 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 deploy_tokens_list call is checked against it from then on.
Questions about deploy_tokens_list
Read deploy-tokens.list 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.
deploy_tokens_list accepts 5 parameters: limit, status, resourceId, organizationId, repositoryFullName. Required: organizationId. 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 deploy_tokens_list: 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.
deploy_tokens_list 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 deploy_tokens_list 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 deploy_tokens_list. 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.
deploy_tokens_list 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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