DimeVision MCP Server

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 mentions that the tool 'explains' the scoring rubric, implying a read-only, informational function, but doesn't detail aspects like response format, potential errors, or if it requires authentication. It adds some context about calibration to standards but lacks comprehensive behavioral traits.

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 and front-loaded with the core purpose, followed by a bulleted list of usage scenarios and a concluding sentence. It's efficient with minimal waste, though the bulleted list could be slightly condensed for brevity without losing clarity.

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 complexity (informational with no parameters) and lack of annotations or output schema, the description is reasonably complete. It covers purpose, usage, and context (calibration to standards), but could benefit from mentioning the expected output format or any limitations to fully compensate for the missing structured data.

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 input schema has 0 parameters with 100% coverage, so no parameter information is needed. The description appropriately doesn't discuss parameters, focusing instead on the tool's purpose and usage. This meets the baseline for tools with no parameters, as it avoids unnecessary details.

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: to explain how DimeVision calculates weld quality scores on a 0-100 scale. It specifies the verb 'explains' and the resource 'deterministic scoring rubric calibrated to AWS/ASME standards.' However, it doesn't explicitly differentiate from siblings like 'get_weld_defects' or 'analyze_weld,' which might also relate to weld quality assessment.

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 guidelines with a bulleted list of scenarios when to call this tool, such as when someone asks 'how does the score work?' or for questions about pass/fail thresholds. It effectively distinguishes use cases without mentioning alternatives, but the context is clear enough to guide selection.

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