datalake_get_all

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

With no annotations, the description carries full burden. It does not disclose read-only nature (implied by 'get' but not explicit), side effects, pagination, rate limits, or authentication needs. Minimal behavioral context beyond the function name.

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, effective sentence that conveys the core purpose. It is appropriately front-loaded and concise, though it could benefit from additional structure without losing efficiency.

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 lack of output schema and many sibling tools, the description does not provide enough context about return values, pagination, or filtering. It is insufficient for a complete understanding of the tool's usage.

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 input schema defines only an 'options' object with a generic description 'Optional parameters'. The description adds no detail about what options are available or how to use them, leaving the agent without meaningful guidance despite high schema coverage.

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 'Get all Data Lakes for the project', specifying the verb (Get), resource (Data Lakes), and scope (all). It distinguishes from siblings like 'datalake_get' (likely single) and 'datalake_create' (mutation).

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?

No guidance is provided on when to use this tool versus alternatives such as 'datalake_get' for a specific lake. The description only states what it does, not when it's appropriate 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.