get_sketchfab_status

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool 'Returns a message indicating whether Sketchfab features are available,' which hints at a read-only operation but doesn't explicitly confirm safety (e.g., no side effects). It also omits details like error handling, performance characteristics, or whether it requires specific Blender configurations. For a tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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 and well-structured: two sentences that directly state the tool's purpose and what it returns. Every word earns its place, with no redundancy or fluff. It's front-loaded with the core functionality, making it easy for an agent to parse quickly.

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?

Given the tool's simplicity (0 parameters, no output schema, no annotations), the description is minimally adequate. It explains what the tool does and the nature of its return value. However, it lacks details on error conditions, output format specifics, or integration with sibling tools, which could help an agent use it more effectively in a broader workflow. For a basic status-check tool, this is acceptable but not comprehensive.

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 tool has 0 parameters, and the input schema has 100% description coverage (though empty). The description doesn't need to explain parameters, as there are none. It appropriately focuses on the tool's purpose and output without unnecessary parameter details, earning a high score for this dimension.

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: 'Check if Sketchfab integration is enabled in Blender.' It specifies the verb ('Check') and resource ('Sketchfab integration in Blender'), making it easy to understand what the tool does. However, it doesn't explicitly distinguish this from sibling tools like 'get_hunyuan3d_status' or 'get_hyper3d_status', which have similar naming patterns for checking other integrations.

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 no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., whether Blender must be running), compare it to similar status-checking tools (e.g., 'get_hunyuan3d_status'), or specify use cases (e.g., before attempting to download Sketchfab models). This lack of context leaves the agent to infer usage based on the tool name alone.

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