_mcp_merge_lora_weights

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

With no annotations, the description reveals the dry-run behavior and configuration dependency, which adds transparency. However, it does not explain what 'emit' means (e.g., prints command, runs it, side effects) or mention auth, rate limits, or resource usage.

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, focused sentence that immediately states the tool's purpose and key behavior. Every word serves a purpose, with no redundancy or filler.

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 has 4 parameters and performs a potentially destructive merge, the description is insufficient. It fails to explain what 'emit' means, prerequisites (e.g., model format), the output format, or the role of the FTOS_LOCAL_PYTHON configuration. The presence of an output schema (not seen) may partially compensate, but overall completeness is low.

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 coverage is 0%, so the description must compensate. It adds the phrase 'base + adapter → merged 16-bit' which explains the overall transformation but does not describe individual parameters or provide format details beyond their names, which are already clear.

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 emits a LoRA merge command, specifying the transformation (base + adapter to merged 16-bit). It distinguishes from siblings by mentioning dry-run behavior and configuration dependency, avoiding tautology.

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 a condition for when the tool actually executes (dry_run unless FTOS_LOCAL_PYTHON configured) but offers no guidance on when to use this tool versus alternatives, such as _mcp_quantize_model or other merge-related siblings.

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