retrieve_dataset_log

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

No annotations are provided, so the description carries the burden. 'Retrieve' clearly implies a read-only operation with no side effects, but it does not disclose behavior on not-found cases, permissions, or return format. For a simple get, this is minimal but acceptable, though more detail would improve transparency.

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?

One clear, concise sentence that avoids fluff or repetition. Every word contributes to the tool's purpose, making it easy to parse and front-loaded with the key action.

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?

The tool is simple with only two parameters and no output schema or annotations. The description covers the basic purpose but does not mention return values, error handling, or the relationship to sibling tools like get_log_detail. It is adequate for a minimal get but could be enriched with more context given the absence of structured metadata.

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?

Schema coverage is 100%—both parameters (unique_id, dataset_id) are already described in the schema. The description does not add extra meaning beyond repeating 'by its unique ID'. It meets the baseline but adds nothing extra.

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 (Retrieve), the resource (a specific log), and the context (from a dataset by its unique ID). This sufficiently distinguishes it from sibling tools like list_dataset_logs (which lists logs) or get_log_detail (which might be a different log type).

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 the unique ID of a log. However, it does not explicitly mention when not to use it or name alternatives like get_log_detail. There is no clear exclusion or comparison to encourage correct selection.

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