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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is established. The description adds context about the content of the alerts (types, severity, affected entities) but doesn't disclose any additional behavioral traits such as default values, pagination, or filtering behavior beyond what the schema mentions. It's acceptable but not rich.

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, compact sentence that front-loads the core idea ('Quick-commerce anomaly alerts') and immediately lists the alert types and key attributes. Every phrase adds information and there is no filler. Ideal size for a simple listing tool.

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?

With an output schema present, the description doesn't need to explain return values. However, given the large set of QRadar sibling tools, the description lacks guidance on how this tool fits into the broader workflow. It also doesn't mention defaults (e.g., limit default, dateRange default) that are in the schema, but those are already in structured fields. Overall it's adequate but not complete in helping the agent decide when to invoke it.

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 60% (limit and dateRange have descriptions; type, severity, and platforms only have enums). The description mentions 'severity' and 'channel' which weakly maps to the severity and platforms parameters, but it doesn't explicitly walk through each parameter. It adds some meaning over the raw schema but doesn't fully compensate for the undocumented parameters.

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 identifies the tool as listing quick-commerce anomaly alerts and enumerates the alert categories (out-of-stock spikes, price anomalies, risk escalations, critical-stock events). It also mentions key attributes (severity, affected SKU/channel/pincode), which gives a solid sense of purpose. However, it doesn't explicitly differentiate from sibling QRadar tools like get_qradar_overview or list_qradar_skus, so it's not a perfect 5.

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?

There is no explicit guidance on when to use this tool versus alternatives. The description says nothing about 'use for X instead of Y' or any exclusions. While the name 'list_qradar_alerts' suggests monitoring alerts, there are many sibling QRadar tools and the description provides no decision-making context for choosing this one.

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