get_alerts

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

With no annotations provided, the description carries full burden and covers side effects (read-only), authentication, rate limits, error handling, idempotency, and data privacy. This is thorough and transparent, compensating for the missing annotations.

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 lengthy and includes repetitive sections (e.g., behavioral transparency repeats side effects and rate limits from earlier). It could be more concise and front-loaded with the core purpose.

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?

Despite having an output schema, the description fails to explain what 'active alerts' are or how the output is structured. The generic analysis framing leaves significant gaps in understanding the tool's actual functionality.

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 only parameter 'api_key' is described as 'The api key to analyze or process', which is vague and does not clarify its role in getting alerts. Schema coverage is 0%, and the description adds minimal value, leading to confusion about its purpose.

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 starts with 'Get active alerts' but then describes a tool for 'structured analysis or classification of inputs against established frameworks or standards'. This is a mismatch and confuses what the tool actually does. It does not clearly distinguish from siblings like 'set_alert'.

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 explicitly states when to use ('structured analysis or classification') and when not ('real-time production decision-making without human review'). However, the guidance is generic and not specific to alerts, so it provides limited actionable context.

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