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generate_in_ide_improvement_notification

Generate an in-IDE improvement banner that displays before-and-after metrics, refactored components, and Karpathy safety compliance for completed refactoring tasks.

Instructions

Generates an In-IDE improvement banner detailing before-and-after metrics, refactored components, and Karpathy safety compliance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
after_stateYesDescription of state after improvement
before_stateYesDescription of state before improvement
feature_nameYesName of feature or refactoring task completed
improvements_listYesList of specific improvements made
Behavior2/5

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

With no annotations provided, the description is the sole source of behavioral disclosure. It only states what the tool generates but does not mention side effects, whether it returns data or sends a notification, any permissions required, or whether it modifies state. Given the mutation-like nature of 'generating' a banner, the description is insufficiently transparent.

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

Conciseness4/5

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

The description is a single, concise sentence with no filler. It front-loads the main action and specifies the content. It is appropriately sized for the tool's simplicity, though it could potentially include usage guidance without becoming overly long.

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

Completeness2/5

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

Despite having all parameters documented in the schema and no output schema, the description leaves out critical context such as the return format, how the banner is delivered, and what 'Karpathy safety compliance' means. An agent might struggle to know what to do with the output. The tool is simple, but the description is not complete enough for confident invocation without further assumptions.

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

Parameters3/5

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

The schema description coverage is 100%, so the baseline is 3. The tool description adds some context by connecting parameters to 'before-and-after metrics' and 'refactored components', but it does not provide explicit parameter-specific details beyond what the schema already states. The mention of 'Karpathy safety compliance' is orthogonal to the parameters and does not clarify their semantics.

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 the tool generates an In-IDE improvement banner and lists its content (before-and-after metrics, refactored components, Karpathy safety compliance). It specifies a concrete verb, resource, and output artifact. However, it does not explicitly differentiate this tool from the many sibling 'generate_*' tools, so it misses the additional distinction that would warrant a 5.

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

Usage Guidelines1/5

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

The description provides no guidance on when to use this tool, what prerequisites exist, or how it differs from alternatives. It does not mention any context, exclusions, or recommended conditions. An agent is left to infer when this tool should be used instead of other generate_* tools.

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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