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generation_feedback_loop_status

Monitor the progress and errors of a generation feedback loop by providing the model ID to check its current status.

Instructions

Check the status of a generation feedback loop.

        Args:
            model_id: The model ID of the feedback loop.
        

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
model_idYes
Behavior2/5

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

No annotations are present, so the description must carry the full burden. It only says 'Check the status', implying read-only, but it does not confirm idempotency, side effects, or any behavioral traits like required authentication or rate limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very brief, but it lacks important context. It is not overly wordy, but it sacrifices comprehensiveness for brevity. A score of 3 reflects that it is minimally concise without being wasteful.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has one parameter, no output schema, and no annotations, the description should explain what the response contains (e.g., possible statuses, error conditions). It fails to do so, leaving the agent without critical information to handle the tool's output.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With schema description coverage at 0%, the description needed to add meaning to the parameter 'model_id'. It merely restates it as 'The model ID of the feedback loop', which adds no value beyond the schema's 'Model Id' title.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states that the tool checks the status of a generation feedback loop using 'Check the status'. However, it does not distinguish itself from the sibling tool 'get_feedback_loop_status', which appears to have a very similar purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidelines are provided about when to use this tool versus alternatives or any context on prerequisites. The description solely states the action without any usage context.

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

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