manage_alerts

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

No annotations are provided, so the description must carry the full burden. It focuses on creation patterns but does not disclose side effects, permissions, rate limits, or other behavioral traits. The tool likely supports CRUD operations, but the description only mentions creation.

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 concise with three sentences, front-loading the purpose and using numbered lists for clarity. No wasted words, though the reference to get_examples() is a minor inefficiency.

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 tool's complexity (30 parameters, no output schema, no annotations), the description is incomplete. It only covers creation aspects, ignoring other likely actions like listing, updating, or deleting alerts. Many parameters remain unexplained.

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 0%, so description must compensate. It explains key parameters like action values (create_threshold_alert, etc.), alertType, triggerAfterPersistsDuration. However, many parameters (e.g., filters, page, size, email) are not addressed, leaving gaps.

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 it manages AI spending alerts and anomaly monitoring, listing three alert types with specific creation methods. However, it does not differentiate from sibling tools like business_analytics_management or manage_metering.

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 provides guidance on when to use each alert type (spike detection, budget threshold, relative change) and references get_examples() for more help. It does not mention when not to use this tool or compare with alternatives.

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