get_tracked_changes

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

No annotations are provided, so the description must carry the behavioral burden. It states changes are returned in document order, which is useful, but does not disclose whether the operation is read-only or any authentication requirements. With no annotations, more detail would be expected.

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?

Two sentences: first states purpose, second lists output fields and order. No redundancy, front-loaded, and every sentence adds value.

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 an output schema (implied by context) and simple purpose, the description provides adequate output structure and ordering. However, it lacks explanation of the document_handle parameter and edge cases (e.g., empty state). Completeness is acceptable but not thorough.

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 input schema has one parameter (document_handle) with 0% description coverage. The tool description does not explain the parameter at all, leaving the agent without guidance on what value to provide. Since the parameter is optional with a default, the impact is somewhat mitigated, but still a clear gap.

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 uses specific verb 'Return' and specifies the resource 'all pending tracked changes (insertions and deletions) as a JSON list'. It clearly distinguishes from sibling tools like accept/reject changes or generate_change_summary.

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 the tool is for retrieving pending changes (by stating it returns them), but does not explicitly state when to use it versus siblings like accept_all_changes or reject_changes. No alternative guidance is given.

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