ByteBot 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 key traits like multi-step execution, automatic task creation, monitoring, error recovery, and intervention handling. However, it omits details on permissions, rate limits, or what happens during failures beyond 'stopOnFailure' in the schema.

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, with two sentences that efficiently convey the tool's purpose and usage context without redundancy. Every sentence adds value, making it easy for an AI agent to quickly understand the tool's role.

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 (multi-step automation with 3 parameters) and no annotations or output schema, the description provides a solid foundation by explaining the workflow's behavior and context. However, it could be more complete by detailing error handling specifics or output expectations, though the schema covers parameters well.

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 schema has 100% description coverage, so the baseline is 3. The description adds minimal value beyond the schema by implying sequential execution ('multi-step workflow') and automation context, but does not elaborate on parameter meanings or usage beyond what's already documented in the schema properties.

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 with specific verbs ('execute a multi-step workflow') and resources ('automatic task creation, monitoring, and error recovery'), distinguishing it from sibling tools like bytebot_create_task or bytebot_monitor_task by emphasizing multi-step automation with sequential execution and intervention handling.

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 context on when to use this tool ('for complex multi-step automation scenarios'), but does not specify when not to use it or name alternatives among siblings (e.g., bytebot_create_task for single-step tasks). This gives clear guidance but lacks exclusion criteria.

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