_mcp_create_training_config

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

The description discloses that it writes to the config/ directory, but lacks details on whether it overwrites existing files, required project existence, or permissions. No annotations are provided, so the description carries the full burden, but it is only partially transparent.

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 clear sentence that efficiently conveys the core action. It is front-loaded and avoids unnecessary words, though it could benefit from parameter bullet points.

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?

With 9 parameters, 0% schema coverage, and no annotations, the description is far from complete. It does not explain return values, prerequisites, or side effects beyond writing to config/, making it insufficient for correct tool invocation.

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 0%, meaning no parameter descriptions exist. The description adds no information about any of the 9 parameters, leaving the agent to infer meaning from names and defaults alone.

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 action ('Render...and write'), the resource ('LoRA training config YAML'), and the destination ('project config/ directory'), distinguishing it from sibling tools that create other configs or perform other MCP operations.

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?

No explicit guidance on when to use or not use this tool versus alternatives. The description implies it's for creating a training config, but does not compare to siblings like _mcp_generate_inference_config or _mcp_run_local_synthetic_train.

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