get_organization

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

With no annotations, the description indicates a read operation but does not disclose potential behaviors like authentication requirements, rate limits, or whether all users can access this data. It is adequate for a simple tool but could be more explicit.

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 sentence that efficiently conveys the tool's purpose and key return fields without any unnecessary words.

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 zero parameters and the simple nature of the tool, the description is reasonably complete. It names several return fields, though it leaves 'settings' undefined. With no output schema, slightly more detail could improve completeness.

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 tool has no parameters, so the description does not need to add parameter meaning. The high schema coverage (100%) and zero parameters mean the description doesn't need to compensate; baseline 4 is appropriate.

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 tool retrieves Datadog organization info and lists specific fields (name, plan, public ID, settings). It distinguishes itself from other 'get-*' sibling tools by focusing on organization-level data.

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 only provides generic context ('Essential for understanding account configuration') but lacks explicit guidance on when to use this tool over alternatives, such as get_estimated_cost or get_hourly_usage, and does not mention when not to use it.

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