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qbatch_optimize

Optimize batch sizes and timing for your project directory to improve performance. Identify and apply the best batch configuration to reduce latency and increase throughput.

Instructions

Optimize batch sizes and timing (Pro feature)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNo
directoryYesProject directory
Behavior1/5

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

With no annotations and no output schema, the description carries the full burden of behavioral disclosure, and it fails to do so. It does not state side effects, whether it edits files, calls an external service, requires a Pro license, or what the output or impact is.

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 short and easy to parse with no filler, but the brevity is more a sign of under-specification than effective conciseness. The Pro feature note is at least front-loaded and useful.

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 no annotations, no output schema, and one undocumented parameter, this one-line description is far from sufficient. It fails to explain what optimization means, what the directory is used for, whether api_key is required, or what result the agent should expect.

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

Parameters2/5

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

Schema coverage is 50%: 'directory' has a description but 'api_key' does not. The description adds no parameter context at all—it never explains what 'directory' is for or why 'api_key' might be needed, so it doesn't compensate for the incomplete schema.

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 names a specific verb ('Optimize') and a resource ('batch sizes and timing'), which clearly identifies the tool's domain and differentiates it at a surface level from batch setup and caching siblings. However, it doesn't specify whether the tool analyzes, recommends, or modifies something, so full clarity is not achieved.

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?

The description provides no guidance on when to use this tool versus related batch tools like qbatch_setup_dataloader or qbatch_add_caching. The only contextual hint is '(Pro feature)', which says nothing about prerequisites, when to use, or when to avoid it.

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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