vibekit_agent_config

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

With no annotations provided, the description carries the burden of disclosing behavior. It indicates a read-only operation via 'Get' and specifies the return type, but it does not explicitly confirm no side effects, require auth, or handle errors. For a simple retrieval tool, this is adequate but not rich.

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: two sentences that state the action and the key return value. There is no fluff or redundant information, and the most important detail (returns current model) is front-loaded.

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?

The tool is simple with one parameter and no output schema, and the description provides the essential return information ('Returns the current model'). It does not explicitly mention the appId parameter, but the schema covers that. It could have referenced sibling tools for context, but overall it is sufficiently complete for its complexity.

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?

The schema covers 100% of the parameter (appId) with a description 'App ID or subdomain slug'. The tool description adds no additional parameter semantics beyond the schema, which is acceptable given the high schema coverage.

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 retrieves AI agent configuration for an app and specifies the return value (current model). The verb 'Get' plus resource 'AI agent configuration' is specific and distinct from sibling tools like vibekit_agent_set_model (sets model) and vibekit_agent_status (status).

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 implies usage when you need the current model or agent configuration, but it does not explicitly mention when not to use it or reference alternatives. There is no exclusionary guidance or comparison to sibling tools like vibekit_agent_status or vibekit_agent_set_model.

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