list_custom_launches
List the custom launches belonging to your API key, newest first, with their lifecycle status and any failure code. This is how you discover launch ids — get_launch_status needs one. REQUIRES an API key in PROGRAMMABLE_API_KEY.
This record as markdown: /tools/aabxtract-programmable-mcp-server/list-custom-launches.md
What list_custom_launches does on Programmable
AI agents call list_custom_launches to retrieve information from Programmable 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 | — | Launches per page. |
cursor | string | — | `nextCursor` from a previous page. |
chainId | integer | — | Chain to query. Defaults to 4663 (Robinhood Chain). Use 1 for Ethereum Mainnet. |
Parameters from the server's own tool schema.
Why list_custom_launches is rated Low
Even though list_custom_launches 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 list_custom_launches safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Programmable, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For list_custom_launches, this is the rule to start with:
list_custom_launches 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 Programmable, apply this rule, and every list_custom_launches call is checked against it from then on.
Questions about list_custom_launches
List the custom launches belonging to your API key, newest first, with their lifecycle status and any failure code. This is how you discover launch ids — get_launch_status needs one. REQUIRES an API key in PROGRAMMABLE_API_KEY. It is categorised as a Read tool in the Programmable MCP Server, which means it retrieves data without modifying state.
list_custom_launches accepts 3 parameters: limit, cursor, chainId. The full parameter table on this page comes from the server's own tool schema.
Register the Programmable MCP server in PolicyLayer and add a rule for list_custom_launches: 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 Programmable. Nothing to install.
list_custom_launches 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 list_custom_launches 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 list_custom_launches. 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.
list_custom_launches is provided by the Programmable MCP server (@aabxtract/programmable-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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