MCP HydroCoder Vision

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

With no annotations provided, the description carries full burden for behavioral disclosure. While it mentions the core action (analyze image → generate code), it lacks important behavioral details: what happens with complex images, whether there are rate limits, what permissions are needed, what the output format looks like, or any error conditions. For a tool that performs AI-based code generation, this is a significant gap.

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 - a single sentence that efficiently communicates the core functionality. Every word earns its place, with no redundant information. It's front-loaded with the main purpose and includes relevant examples of frameworks.

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 tool that performs AI-based image analysis and code generation with 2 parameters and no output schema, the description is insufficient. It doesn't explain what kind of output to expect (code snippets, full files, explanations), doesn't mention limitations or accuracy considerations, and provides no context about the complexity of images it can handle. The lack of annotations exacerbates these gaps.

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 both parameters thoroughly. The description adds minimal value beyond the schema - it mentions 'UI/design image' which aligns with imagePath, and 'HTML/CSS/JS, Vue, React, etc.' which aligns with framework. No additional syntax, format details, or constraints are provided beyond what's in the schema.

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: 'Analyze a UI/design image and generate corresponding code' with specific frameworks mentioned. It distinguishes from sibling tools (analyzeImage, extractText) by focusing on code generation rather than general analysis or text extraction. However, it doesn't explicitly contrast with siblings, keeping it at 4 rather than 5.

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 when this tool is appropriate versus using analyzeImage for general analysis or extractText for text extraction. There's no context about prerequisites, limitations, or typical use cases.

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