This record as markdown: /tools/funny-booth-aos-mcp-server/get-issues.md
What get_issues does on Aos
AI agents call get_issues to retrieve information from Aos 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 |
|---|---|---|---|
status | string | — | |
team_id | string | — | 対象チームID(省略時はユーザーの既定チーム) |
Parameters from the server's own tool schema.
Why get_issues is rated Low
The 'get_' prefix strongly suggests data retrieval with no side effects. In the context of a task/issue tracking system (evidenced by sibling tools like create_issue, create_task, create_todo), 'get_issues' almost certainly queries or lists existing issues. No modification, deletion, or execution is implied. Confidence is moderate-high due to empty description, but the naming convention is reliable.
From the tool's definition Tool name 'get_issues' follows the Read pattern (get/retrieve). Description is empty, so classification relies on naming convention and the pattern of sibling tools (many create_* tools indicate a task/project management system).
Attacks that exploit this kind of access
The rule that runs get_issues safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Aos, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_issues, this is the rule to start with:
get_issues 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 Aos, apply this rule, and every get_issues call is checked against it from then on.
Questions about get_issues
get_issues is a read tool on the Aos MCP server. It is categorised as a Read tool in the Aos MCP Server, which means it retrieves data without modifying state.
get_issues accepts 2 parameters: status, team_id. The full parameter table on this page comes from the server's own tool schema.
Register the Aos MCP server in PolicyLayer and add a rule for get_issues: 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 Aos. Nothing to install.
get_issues 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 get_issues 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 get_issues. 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.
get_issues is provided by the Aos MCP server (@funny-booth/aos-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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