Appo 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 a complete React component with SDK integration,' which implies a generative, read-only operation, but it doesn't cover critical aspects like whether this requires specific permissions, what the output format looks like (e.g., code structure), error handling, or any rate limits. For a generative tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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 appropriately sized and front-loaded in a single sentence that states the core purpose. It avoids unnecessary elaboration, though it could be slightly more informative without losing conciseness. Every part of the sentence contributes to understanding the tool's function.

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 complexity of generating a UI component with SDK integration, no annotations, and no output schema, the description is incomplete. It doesn't explain the return value (e.g., code snippet, file), error cases, or how the generated component integrates with the SDK. For a tool with 4 parameters and generative behavior, more context is needed to guide effective use.

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 four parameters with enums and descriptions. The description adds no additional meaning beyond what's in the schema—it doesn't explain parameter interactions, default behaviors beyond schema hints, or usage examples. With high schema coverage, the baseline is 3, as the description doesn't compensate but also doesn't detract.

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: 'Generate a UI component that uses @appolabs/appo SDK features.' It specifies the verb ('Generate'), resource ('UI component'), and technology context ('@appolabs/appo SDK features'). However, it doesn't explicitly differentiate from sibling tools like 'generate_hook' or 'scaffold_feature', which likely serve related but distinct purposes in the same domain.

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 'generate_hook' or 'scaffold_feature', nor does it specify prerequisites, constraints, or typical scenarios for invoking this tool. The only implied usage is for creating React components with SDK integration, but this lacks explicit context.

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