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vibekit_agent_compact

Free up context window space by compacting agent memory, preventing overflow in long-running agents.

Instructions

Compact the agent's memory to free up context window space. Useful for long-running agents.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
appIdYesApp ID or subdomain slug
Behavior2/5

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

With no annotations, the description must fully disclose behavioral traits. It only mentions the benefit of freeing context space but does not explain side effects such as whether information is lost, whether the operation is reversible, or any permission requirements. This is a significant gap for a memory-modifying action.

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

Conciseness5/5

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

The description is extremely concise: two short sentences. The first states the action and purpose, the second provides a usage hint. Every word earns its place with no redundancy or filler.

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

Completeness3/5

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

For a simple tool with one parameter and no output schema, the description gives the core purpose and a usage cue. However, it lacks information about consequences of the operation, which is important for an agent to understand before invoking it. It is minimally adequate but not fully complete.

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 input schema covers 100% of parameters (single appId with description). The description itself adds no additional parameter semantics. Per the rubric, high schema coverage gives a baseline of 3, and the description does not enhance it further.

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

Purpose5/5

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

The description clearly states the verb 'compact' and the resource 'agent's memory', with the purpose 'free up context window space'. This is specific and distinguishes it from sibling agent tools like get_status, stop, or reset, which have different operations.

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

Usage Guidelines4/5

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

The description provides a clear usage context: 'Useful for long-running agents.' This implies when to use, but does not explicitly mention when not to use or alternative tools. Still, it gives enough guidance for an agent to select it appropriately.

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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