trigger_user_sync

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

With no annotations, the description carries the full burden and does disclose the core effect (all queued edits applied to files) plus a gating condition (agent must not be busy). It omits failure behavior, whether the operation is blocking, and reversibility, even though a rollback_last sibling exists that implies undo semantics.

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?

Front-loaded with the action, then the effect, then the precondition. The trailing 'Returns:' block is somewhat redundant because an output schema exists, but it is short and does not bloat the definition.

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?

With an output schema present, the return explanation is unnecessary but harmless; the description covers effect and precondition, and there are no parameters to document. It stops short of explaining what 'skipped' or 'errors' mean operationally or how to recover, which is the only real gap.

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 tool takes zero parameters, so there is nothing for the description to compensate for; baseline is 4. The empty schema is fully consistent with the described no-argument trigger.

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?

States a specific verb and resource ('Trigger user_sync on the Bridge Server') and adds what the action actually does: applying queued dimension/color edits to files. It does not, however, distinguish itself from nearby siblings like get_sync_status or approve_all_files, which also deal with pending sync state.

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 line 'Only works when the AI agent is not busy' gives a real precondition for invocation, which is more than most. But there is no guidance on when to prefer this over get_sync_status (checking state) or approve/reject tools (managing the queue), leaving the routing to inference.

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