import_dataset_logs

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

With no annotations, the description carries the full burden of behavioral disclosure. It only adds 'Runs in the background,' which is a key trait but insufficient. It does not explain whether this is asynchronous, how to track progress, whether logs are appended or deduplicated, or any side effects on existing dataset logs. These gaps are significant for a mutation tool.

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, well-structured sentence that starts with the core action and includes the essential qualifiers. No filler or redundant information. It is appropriately sized for the tool's simplicity.

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 the tool's complexity (5 parameters, nested filters, background execution) and lack of annotations/output schema, the description is minimally adequate. It states the action and async nature but omits how to check results or handle failures. For a background import, agents would likely need more guidance on monitoring or expected behavior, making it incomplete but not severely lacking.

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?

The schema covers 100% of the parameters with descriptions, and the description merely restates 'time range and filters' without adding new meaning. The filtering structure (operator and value) is already explained in the schema. No additional guidance on formats, constraints (e.g., sampling_percentage range), or interactions between parameters is provided beyond schema.

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 clearly states the action: 'Import existing logs into a dataset by time range and filters.' It identifies the verb (import), the resource (existing logs), the target (dataset), and the criteria (time range and filters). This distinguishes it from sibling tools like list_dataset_logs or retrieve_dataset_log, which operate on logs already in a dataset.

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?

The description implies usage: when you have existing logs outside the dataset and want to bring them in based on filters. No explicit when-not or alternatives are given, but the tool's purpose is self-evident and distinct from siblings. It would benefit from mentioning that it's for bulk import vs. single-log operations, but the context is clear enough.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.