Sauce Labs MCP Server

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. It states this is a read operation ('Returns information'), which is helpful, but doesn't mention authentication requirements, rate limits, error conditions, or what specific information is returned. For a tool with zero annotation coverage, this leaves significant behavioral gaps.

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 with three sentences: purpose statement, context clarification, and parameter documentation. It's front-loaded with the core functionality and avoids unnecessary verbiage, though the parameter documentation could be slightly more integrated.

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 2 parameters with 0% schema coverage and an output schema exists, the description adequately covers parameter semantics but lacks behavioral context (no annotations) and usage guidance. The existence of an output schema means return values documentation isn't needed, but other gaps remain for this read operation.

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 description adds meaningful context for both parameters beyond the schema (which has 0% description coverage). It clarifies that 'username' is 'the authentication username of the owner' and 'tunnel_id' is 'the unique identifier of the requested tunnel'. This provides essential semantic understanding that the schema alone lacks.

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 'Returns information about the specified tunnel' and provides context that 'tunnel' refers to Sauce Connect usage. However, it doesn't explicitly differentiate from sibling tools like 'get_tunnels_for_user' or 'get_current_jobs_for_tunnel', which would require a 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 like 'get_tunnels_for_user' (which might list multiple tunnels) or other tunnel-related tools. It only documents required parameters without contextual usage instructions.

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