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Assemble Lab Book

assemble_lab_book

Create a deterministic lab-book entry from experiment files by specifying an input directory and optional parameters for experiment, output path, and tracking data.

Instructions

Assemble a deterministic lab-book entry from experiment files.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
input_dirYes
experimentNo
output_pathNo
tracking_jsonNo
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. The word 'deterministic' hints at output consistency, but the description fails to mention side effects (e.g., file creation at output_path), required permissions, or behavior on missing files. This is a significant gap for a tool with multiple optional parameters.

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

Conciseness2/5

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

The description is a single concise sentence, which is good for brevity, but it is too under-specified for a tool with four parameters and no other metadata. It front-loads the core purpose but omits essential details that would justify its length; it is concise but not appropriately informative.

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 complexity (4 parameters, 1 required, no annotations, no output schema), the description is grossly inadequate. It does not explain what constitutes a lab-book entry, how experiment files are discovered, what the optional parameters do, or what the return value looks like. This is not complete enough for an agent to call it correctly.

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?

Schema description coverage is 0%, so the description must explain parameter meanings, but it does not mention any parameters at all. The agent gets no insight into what input_dir, experiment, output_path, or tracking_json represent or how they influence the assembly, making the tool nearly unusable without additional context.

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 assembles a lab-book entry from experiment files, with 'deterministic' adding specificity about output behavior. However, it does not explicitly distinguish it from sibling tools like format_lab_entry, which might also generate lab-related content, so it only partially differentiates.

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 alternatives, nor does it mention prerequisites or exclusions. It simply states what it does without context, leaving the agent to guess about appropriate invocation scenarios.

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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