Accept tracked changes by id

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

With no annotations provided, the description carries the full burden. It discloses the permanent, mutating nature, the clearing of pending-change metadata, automatic grouping across docs, and irreversibility—excellent transparency for a mutation tool.

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?

Five short sentences, each providing essential information. Front-loaded with the core action, no redundancy, and well-structured for quick comprehension.

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?

For a simple single-parameter tool with no output schema, the description covers purpose, effect, input sourcing, grouping behavior, and irreversibility. It is complete given the context and tool complexity.

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 100% and the schema description already references list_tracked_changes. The tool description repeats the source but adds no new parameter-level details, so baseline 3 is appropriate.

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 it permanently accepts tracked-change suggestions, and explains the effect on text and metadata. This distinguishes it from reject_changes by specifying what 'accept' means (text stays, metadata cleared).

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?

Provides clear context: use change_ids from list_tracked_changes and warns that the action is irreversible. However, it does not explicitly mention when to use this tool versus reject_changes, though the name and behavior imply the distinction.

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