Feedback Stats
feedback_statsRetrieve feedback statistics and recommendations to learn from agent actions and block repeated mistakes.
Instructions
Get feedback stats and recommendations
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
feedback_statsRetrieve feedback statistics and recommendations to learn from agent actions and block repeated mistakes.
Get feedback stats and recommendations
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, so the description's 'Get' aligns with that. However, no additional behavioral details (e.g., data sources, filtering, rate limits) are provided. With annotations covering the safety profile, the description adds minimal extra context.
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 a single, concise sentence that immediately conveys the tool's purpose. Every word earns its place with no 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?
Given no parameters, no output schema, and a straightforward read operation, the description is mostly complete. However, it could clarify what 'stats and recommendations' entail or how they are generated, but this is a minor 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?
There are zero parameters, and the schema coverage is 100% (vacuously). The description does not add parameter information, but none is needed. Baseline score of 4 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 'Get feedback stats and recommendations' clearly states the function: retrieving statistics and recommendations related to feedback. It uses a specific verb and resource, distinguishing it from sibling tools like 'feedback_summary' or 'capture_feedback', though the exact scope is ambiguous.
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?
No guidance is provided on when to use this tool versus alternatives (e.g., feedback_summary, reflect_on_feedback). There are no when-to-use or when-not-to-use hints, leaving the agent without context for selection.
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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