convex_run

Run a Convex function.

Server Yaver yaver-cli
Category Execute
Risk class High
Parameters 31 required

What convex_run does on Yaver

AI agents invoke convex_run to trigger actions in Yaver. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

ParameterTypeRequiredDescription
args string JSON args
function string Yes Function path (e.g. tasks:list)
directory string

Parameters from the server's own tool schema.

Why convex_run needs a policy

convex_run triggers real processes with real consequences. An agent gone sideways doesn't fire it once — it starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.

Risk signalsAccepts file system path (directory)

Questions about convex_run

What does the convex_run tool do? +

Run a Convex function. It is categorised as a Execute tool in the Yaver MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

What parameters does convex_run accept? +

convex_run accepts 3 parameters: args, function, directory. Required: function. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on convex_run? +

Register the Yaver MCP server in PolicyLayer and add a rule for convex_run: 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 Yaver. Nothing to install.

What risk level is convex_run? +

convex_run is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit convex_run? +

Yes. Add a rate_limit block to the convex_run 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.

How do I block convex_run completely? +

Set action: deny in the PolicyLayer policy for convex_run. 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.

What MCP server provides convex_run? +

convex_run is provided by the Yaver MCP server (yaver-cli). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.