Page Design Guide MCP

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 states the tool returns data, implying a read-only operation, but doesn't address potential behavioral aspects like rate limits, authentication needs, data freshness, or error handling. For a tool with zero annotation coverage, this is a significant gap in transparency.

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 a single, well-structured sentence that efficiently conveys the core functionality: 'Returns trending 2026 color palette combinations with specific hex codes and usage examples.' It is front-loaded with the main action and includes key details without unnecessary elaboration, making it highly concise and effective.

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 (simple read operation with no parameters) and lack of annotations or output schema, the description is minimally adequate. It specifies what is returned but doesn't cover behavioral aspects or usage context. For a tool with no structured data beyond the schema, it provides basic completeness but lacks depth for optimal agent guidance.

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, and schema description coverage is 100%, so there are no parameters to document. The description doesn't need to add parameter semantics, and it appropriately avoids discussing inputs. A baseline score of 4 is assigned as it handles the lack of parameters correctly without introducing confusion.

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: 'Returns trending 2026 color palette combinations with specific hex codes and usage examples.' It specifies the verb ('Returns'), resource ('trending 2026 color palette combinations'), and output details. However, it doesn't explicitly differentiate from sibling tools like 'get_color_guidance' or 'get_modern_trends', which might offer overlapping or related functionality.

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 sibling tools like 'get_color_guidance' or 'get_modern_trends', nor does it specify contexts, prerequisites, or exclusions for its use. This leaves the agent without clear direction on tool selection.

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