create_track_change

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

No annotations provided, so description bears full burden. It discloses return value structure, backup creation behavior, and the uniqueness requirement. Could add permission or file format constraints.

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?

Well-structured with Args and Returns sections, but slightly verbose in the Returns list. Efficient overall, no 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?

Covers key aspects: behavior, return fields, backup, uniqueness. Lacks error handling and prerequisites (e.g., file existence), but output schema is implied. Adequate given parameters and sibling tools.

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?

Despite 0% schema coverage in description, the text explains all 5 parameters: path, find_text, replace_with, author (with default), and output_path behavior (backup fallback). Adds significant meaning beyond the raw schema.

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 states the tool makes an edit with track changes enabled (insertion, deletion, or replacement) on a .docx file. It clearly distinguishes from siblings like accept_change or reject_change by focusing on creating changes.

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 implies usage for tracking edits but does not explicitly state when to use this tool over alternatives. It mentions constraints (find_text must be unique) but lacks contextual guidance.

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