This record as markdown: /tools/aaronsb-texflow-mcp/queue.md
What queue does on TeXFlow
AI agents call queue as a supporting operation in TeXFlow workflows.
Why queue is rated Low
With no description available, it's impossible to determine the tool's function from the name alone. 'Queue' could refer to managing a job/render queue (Execute), queuing documents for review (Write), or simply reading queue status (Read). Given the TeXFlow context around document rendering, it might manage a render queue, but without evidence I cannot confidently assign a more specific category.
From the tool's definition Tool name is 'queue' with an empty description. No information about what it does.
Attacks that exploit this kind of access
The rule that runs queue safely
PolicyLayer is an MCP gateway: it sits between your AI agents and TeXFlow, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For queue, this is the rule to start with:
queue gets a rate cap, and everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect TeXFlow, apply this rule, and every queue call is checked against it from then on.
Questions about queue
queue is a other tool on the TeXFlow MCP server. It is categorised as a Other tool in the TeXFlow MCP Server, which means it performs auxiliary operations.
Register the TeXFlow MCP server in PolicyLayer and add a rule for queue: 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 TeXFlow. Nothing to install.
queue is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the queue 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 queue. 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.
queue is provided by the TeXFlow MCP server (aaronsb/texflow-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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