fork_log

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

With no annotations, the description carries the full burden. It explains that entries are appended and later used by fork_merge/delete, which is helpful behavioral context. However, it does not disclose potential failure modes (e.g., if the fork is not open), idempotency, or permissions, leaving some transparency gaps.

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 two sentences long, front-loaded with the action, and every phrase adds value. The inline field explanations are integrated efficiently without redundancy.

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 append tool, the description provides the core purpose and field meanings, and the relationship to fork_merge/delete adds useful context. It doesn't explain return values (no output schema) or edge-case behavior, but the overall description is sufficient for most use cases.

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?

Since schema description coverage is 0%, the description must explain parameters. It clarifies type, ref, and description with examples, but leaves app_id, fork_id, and component unexplained. These are partially self-evident, but for a tool with 6 parameters, covering only half is a notable 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 clearly identifies the action ('Append one change entry to an open fork's log') and the resource (fork log). It lists the key fields and their roles, distinguishing itself from sibling fork tools like fork_merge and fork_delete by explaining that these entries are later tallied by those 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?

The description implies the tool is used when a change to a fork occurs and mentions that entries feed into fork_merge/fork_delete, providing useful context. However, it lacks explicit guidance on when not to use it or how it differs from similar logging tools like gap_log.

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