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 and does well by explaining the predictive nature of the tool, listing specific output metrics (bead width, penetration, etc.), and mentioning it provides recommendations. It doesn't cover rate limits or authentication needs, but gives substantial behavioral context.

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 well-structured with a clear purpose statement followed by usage guidelines and input/output details. It's slightly verbose but each section adds value. The 'Input:' and 'Output:' sections could be more integrated, but overall it's efficiently organized.

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 simulation tool with 4 parameters, 100% schema coverage, and no output schema, the description is highly complete. It explains the tool's purpose, when to use it, what inputs mean, and details all output fields including predicted metrics, transfer modes, defects, and tips—compensating well for the lack of output schema.

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 schema already documents all parameters. The description adds typical value ranges (e.g., 'typically 150-350 for common setups') which provides helpful context beyond the schema's minimum/maximum bounds, but doesn't add deep semantic meaning. Baseline 3 is appropriate.

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 simulates GMAW welding parameters and predicts bead profile and quality score. It specifies the exact welding process (GMAW/MIG) and distinguishes from siblings by focusing on simulation rather than analysis, tips, plans, defects, or quality scoring alone.

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 explicitly lists four scenarios when to use this tool: practicing before actual welds, questions about bead outcomes with specific settings, learning parameter effects, and understanding transfer modes. This provides clear context for when to invoke it versus sibling tools.

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