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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the safety profile is covered. The description adds valuable behavioral context: the exact response envelope (tasks[0].result, tasks[0].status_code), the fact that rejected requests still return HTTP 200, and the pricing model. This goes beyond the annotations and helps an agent interpret responses correctly.

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 compact and front-loaded with the core behavior, then adds pricing and envelope details. The emoji and pricing note are somewhat tangential but still useful for cost-aware selection. Every sentence earns its place, though the pricing detail could be considered extra.

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 has no parameters and an output schema exists, the description is largely complete. It explains the response envelope and error behavior, which is critical for DataForSEO APIs. It doesn't explain what 'events' means in Google SERP context, but the title and sibling names provide enough context. The pricing note adds operational context beyond the schema.

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 input schema has zero parameters, so there is no parameter semantics burden. The description lists the output fields, which is useful for understanding what the tool returns. With 0 params, the baseline is 4, and the description adds value by enumerating the response fields.

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 states a specific verb ('Returns') and resource ('events Google surfaces for a query on Google'), and lists the exact fields returned. It distinguishes itself from sibling tools by naming the 'events' SERP feature, though it doesn't explicitly name a sibling alternative. The title 'List of Google Events Locations for SERP API' is somewhat misleading because the description is about returning SERP results, not locations, but the description itself is clear.

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 implies this is a read-only lookup tool for Google Events SERP data, and the sibling list shows many live/post tools, but it doesn't explicitly state when to use this vs. alternatives like post_dataforseo_serp_google_events_live. The pricing note hints at cost-based selection ('cheapest source of search data here'), which is a usage signal, but there is no explicit when/when-not guidance.

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