DimeVision MCP Server

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes what the tool returns (detailed information about 6 specific defect categories with causes and severity levels) and implicitly indicates this is a read-only reference tool. However, it doesn't explicitly state whether this is a static reference or dynamically generated content, or mention any rate limits or authentication requirements.

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 detailed defect information. While slightly longer than minimal, every section adds value: the purpose statement defines the tool, the usage guidelines help with selection, and the defect list provides context about what information is available. The information is front-loaded with the most important details first.

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 0-parameter reference tool with no annotations and no output schema, the description provides substantial context: clear purpose, usage guidelines, and detailed content about what information is returned (6 defect categories with descriptions). The main gap is the lack of information about output format/structure, but given this is a reference tool with no parameters, the description provides sufficient context for an agent to understand when and how to use it.

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 with 100% schema description coverage, so the baseline would be 3. However, the description adds value by explicitly stating this is a reference tool that doesn't require parameters, which helps the agent understand this is a straightforward information retrieval tool rather than one needing filtering or search criteria.

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: 'Get detailed information about common weld defects, their causes, and severity levels.' This is a specific verb ('Get') + resource ('detailed information about weld defects') combination that distinguishes it from sibling tools like analyze_weld or get_weld_quality_score, which focus on analysis or scoring rather than reference information.

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 guidance on when to use this tool through a bulleted list of specific scenarios: when users ask about weld defects, common welding problems, specific defect types, learning/teaching fundamentals, or weld failure reasons. It clearly distinguishes this reference tool from analytical siblings like analyze_weld by focusing on educational/reference use cases rather than analysis.

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