AI agents call idea_list to retrieve information from Tools without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
filter | string | — | Filter by status (optional) |
Parameters from the server's own tool schema.
This tool retrieves and displays community feature requests and ideas with filtering and sorting capabilities. No creation, modification, deletion, or execution of external operations occurs. It is a pure query operation against a read-only data source (ideas board), making it a Read category tool with low severity and low blast radius if misused.
From the tool's definition Tool description: 'List ideas from the JieBang ideas board. Filter by status, sort by votes. View community feature requests and their progress.' The verb 'List' and 'View' indicate read-only retrieval operations with no data modification or side effects.
Attacks that exploit this kind of access
List ideas from the JieBang ideas board. Filter by status, sort by votes. View community feature requests and their progress. It is categorised as a Read tool in the Tools MCP Server, which means it retrieves data without modifying state.
idea_list accepts 1 parameter: filter. The full parameter table on this page comes from the server's own tool schema.
Register the Tools MCP server in PolicyLayer and add a rule for idea_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 Tools. Nothing to install.
idea_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 idea_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 idea_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.
idea_list is provided by the Tools MCP server (https://www.jiebang.site/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →