DimeVision MCP Server

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

With no annotations provided, the description carries full burden. It discloses the tool's behavior well: it analyzes photos, provides quality scores with thresholds (75+ = professional, 90+ = mastery), lists defects with severity, and gives improvement tips. However, it doesn't mention limitations like image quality requirements, processing time, or error conditions.

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 appropriately sized and front-loaded with the core purpose in the first sentence. The bullet points are useful but slightly verbose. Every section earns its place by providing clear guidance, though some redundancy exists between usage scenarios.

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 no annotations and no output schema, the description does well to explain the tool's behavior and output format (qualityScore, defects, recommendations, process). It covers the main use cases and expected results, though it could benefit from mentioning error handling or authentication requirements.

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 description coverage is 100%, so the baseline is 3. The description mentions 'context: Optional welding context (process, material, position)' which partially maps to the schema parameters, but doesn't add significant meaning beyond what the schema already documents with its enum values and descriptions.

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 with specific verb ('upload a photo and get a detailed quality analysis') and resource ('weld'). It distinguishes from siblings like 'get_weld_quality_score' by emphasizing comprehensive analysis including defects and recommendations, not just a score.

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 explicit usage scenarios with bullet points covering when to call this tool, including specific user queries ('analyze my weld', 'rate my weld', 'check my welding', 'what score is my weld?', 'how did I do?'). It clearly indicates this is for photo-based weld analysis requests.

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