sentinel_ml_analytics_setting_get

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

With no annotations provided, the description lacks behavioral details. It doesn't specify if this is a read-only operation, what permissions are required, error handling, or the response format. The description only states the action without behavioral context.

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, clear sentence with no wasted words. It's front-loaded and efficiently conveys the core action, making it easy to parse.

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?

For a tool with no annotations, 0% schema coverage, and no output schema, the description is insufficient. It doesn't cover parameter details, behavioral traits, or usage context, leaving significant gaps for an AI agent to understand and invoke the tool correctly.

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 description coverage is 0%, and the description mentions 'by name' but doesn't explain the 'kwargs' parameter's format or usage. It adds minimal semantics beyond the schema, failing to compensate for the coverage gap.

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 verb ('Get') and resource ('a specific Sentinel ML analytics setting'), making the purpose evident. However, it doesn't differentiate from its sibling 'sentinel_ml_analytics_settings_list', which retrieves multiple settings instead of one by name.

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. It doesn't mention the sibling 'sentinel_ml_analytics_settings_list' for listing all settings or prerequisites like authentication needs.

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