Can I Vibe? — AI coding provider status
Server Details
Live status and health checks for AI coding providers: Claude, Cursor, Copilot, Codex and more.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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Tool Definition Quality
Average 4.3/5 across 2 of 2 tools scored.
Tools target similar information but with different outputs: one provides detailed status, the other a binary health flag. Descriptions clarify the distinction, though some overlap remains.
Tool names use different verb styles ('ai_provider_status' vs 'check_provider_health') and different nouns ('status' vs 'health'), lacking a consistent pattern.
Two tools is slightly minimal but appropriate for a narrow purpose of checking provider status. Could arguably be combined, but separation is useful.
The set covers the core need: detailed status and a simplified health check. No obvious gaps for the stated domain of checking AI provider status.
Available Tools
2 toolsai_provider_statusAInspect
Get the live status of AI coding providers (Claude, OpenAI, Copilot, Cursor, OpenRouter and more). Returns status, how long each provider has been in its current state, and last check time. Pass service_id for one provider, omit it for all.
| Name | Required | Description | Default |
|---|---|---|---|
| service_id | No | Optional provider id, e.g. claude, openai, github_copilot, cursor, openrouter |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the return data fields (status, duration, last check) and behavior difference based on parameter. As a read-only status tool, there are no side effects to disclose, but it could mention that no destructive actions occur.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise, using only two sentences to convey all necessary information. Every word is useful, and the structure front-loads the main purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with one optional parameter and no output schema, the description fully covers usage, input behavior, and return information. Nothing essential is missing.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with parameter description already providing examples. The tool description adds value by explaining the behavioral difference when the parameter is provided vs omitted, which goes beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: getting live status of AI coding providers. It lists specific provider examples and explains what data is returned (status, duration, last check time). The distinction between getting one provider vs all is explicit.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear usage guidance: pass service_id for one provider, omit for all. However, it does not mention when to use this tool versus the sibling tool check_provider_health, or any exclusion criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
check_provider_healthAInspect
Check whether one or more AI coding providers are healthy enough to use right now. Returns healthy=true only when every requested provider is operational (or within the allowed statuses). Use this before starting work that depends on a provider, or to decide which provider to route to.
| Name | Required | Description | Default |
|---|---|---|---|
| services | Yes | Provider ids to check, e.g. ["claude", "openrouter"] | |
| allow_degraded | No | Treat degraded performance as healthy (default false) |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. It describes the return condition and implies read-only. Does not disclose side effects, but for a health check this is sufficient. Lacks details on error handling or rate limits.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Three sentences, well-structured, no redundant words. Front-loaded with purpose and usage.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema, description only hints at return value ('Returns healthy=true'). Lacks explicit return format or contrast with sibling tool 'ai_provider_status'.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, description does not add additional meaning beyond schema. Baseline 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states the verb 'Check' and the resource 'one or more AI coding providers', and specifies the condition for health. It distinguishes from sibling tool 'ai_provider_status' by implying a boolean health check.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly states when to use: 'before starting work that depends on a provider, or to decide which provider to route to'. However, no explicit mention of when not to use or alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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