Gets the next available issue of a specific type Use this tool to find the next available issue that
AI agents call get_next_available_issue to retrieve information from Task Trellis MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries issue data to find the next available item. It has no side effects—it does not create, modify, delete, or execute operations. The verb 'Gets' and the retrieval semantics clearly place this in the Read category with low severity, as an AI agent cannot cause harm by querying for available issues.
From the tool's definition Tool name 'get_next_available_issue' and description 'Gets the next available issue of a specific type' indicate a query/retrieval operation with no modification or deletion of data.
Documented attack patterns abuse exactly the kind of access get_next_available_issue gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Task Trellis MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for get_next_available_issue:
{
"version": "1",
"default": "deny",
"tools": {
"get_next_available_issue": {}
}
} get_next_available_issue is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Gets the next available issue of a specific type Use this tool to find the next available issue that. It is categorised as a Read tool in the Task Trellis MCP MCP Server, which means it retrieves data without modifying state.
Register the Task Trellis MCP server in PolicyLayer and add a rule for get_next_available_issue: 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 Task Trellis MCP. Nothing to install.
get_next_available_issue 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_next_available_issue 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_next_available_issue. 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_next_available_issue is provided by the Task Trellis MCP server (langadventurellc/task-trellis-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Task Trellis MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
16 Task Trellis MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.