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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds that results include slugs (a useful return-content hint), but offers no further behavioral context such as completeness or coverage of events. Adequate but thin beyond 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?

A single sentence, front-loaded with the verb and resource, with examples that earn their place. No padding or redundancy.

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 no-param listing tool whose annotations carry the safety profile and whose output schema documents return values, the description is nearly complete. It could note that slugs are meant to be passed to retailmenot_deal_event more explicitly, but the essentials are present.

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 takes zero parameters, so there is nothing for the description to disambiguate; baseline 4 applies. The empty schema is consistent with a plain listing call.

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?

Specific verb ('List') plus resource ('RetailMeNot's seasonal and holiday deal events') with concrete examples (Black Friday, Cyber Monday, Prime Day). It also implicitly distinguishes itself from sibling retailmenot_deal_event by noting it provides the slugs that tool consumes.

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 mention of 'slugs for retailmenot_deal_event' establishes this as the discovery step feeding the detail tool, giving clear usage context. However, it stops short of an explicit when-to-use/when-not statement or naming the alternative outright.

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