Skip to main content
Glama

VibeKit

by io.github.VibeKit-Bot

VibeKit Agent Status

vibekit_agent_status
Read-only

Check whether an app's AI agent is idle or working, and get its LIVE progress. Returns activity.status = the current human-readable build step (e.g. 'editing index.html', 'deploying'), activity.steps = the steps so far, and activity.done = whether the turn finished. Poll this every few seconds while a build is running and relay activity.status to the user so they see progress. Once activity.done is true the response also includes liveCheck = a server-side fetch of the deployed page ({ url, ok, httpStatus, title }); use it to confirm the app is live and renders — do NOT curl/fetch the URL yourself, your sandbox may block it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
appIdYesApp ID (from vibekit_list_apps)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYesWhether the call succeeded.
dataNoAgent status: idle/working, current model, context usage, and app info.
errorNoError message when ok is false (e.g. missing/invalid VIBEKIT_API_KEY, or an API error).

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
+  "description": "Result envelope: ok=true with data on success, ok=false with error on failure.",
+  "properties": {
+    "data": {
+      "description": "Agent status: idle/working, current model, context usage, and app info."
+    },
+    "error": {
+      "description": "Error message when ok is false (e.g. missing/invalid VIBEKIT_API_KEY, or an API error).",
+      "type": "string"
+    },
+    "ok": {
+      "description": "Whether the call succeeded.",
+      "type": "boolean"
+    }
+  },
+  "required": [
+    "ok"
+  ],
+  "type": "object"
+}
  2. First observed

TDQS

A4.7/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate readOnlyHint=true. Description adds critical behavioral details: it returns live progress, triggers a server-side fetch on completion, and clarifies polling behavior. No contradictions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single, well-structured paragraph. Front-loaded with purpose, then return details, then usage guidance. Every sentence adds value with no wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given one simple parameter and an output schema, the description covers all necessary context: what the tool returns, how to use it (polling loop), and what to do with results (relay status, use liveCheck, avoid direct fetch). No gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with a single parameter (appId) already described as 'App ID (from vibekit_list_apps)'. The description does not add additional parameter-specific meaning beyond what the schema provides, so baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states it checks whether an app's AI agent is idle or working and returns live progress. Specifies return fields (status, steps, done) and distinguishes from siblings like vibekit_agent_history.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly instructs to poll every few seconds while a build is running and relay status to user. Also explains when done, use liveCheck to confirm app is live, and explicitly warns not to curl/fetch the URL yourself.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All VibeKit toolsInspect
Try in Browser
RayrunBuild, deploy, and operate MCP servers without becoming an infrastructure team.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4/5.0
Disambiguation4/5

Most tools have distinct purposes, but vibekit_chat and vibekit_submit_task both handle AI-driven code changes, leading to potential confusion. Descriptions help differentiate, but overlap exists.

Naming Consistency4/5

All tools use the 'vibekit_' prefix and lowercase with underscores. Most follow a verb_noun pattern, but a few (e.g., 'vibekit_account') are noun-only, causing minor inconsistency.

Tool Count3/5

36 tools is on the high side, covering many aspects of the platform. While mostly justified, the count feels slightly excessive and could be streamlined.

Completeness5/5

The tool set covers the full lifecycle of apps, databases, tasks, schedules, skills, QA, and environment variables. No obvious gaps for the stated domain.

Resources