google_serp_events: GET /

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

No annotations provided, so description must cover behavior. It mentions scraping, filters, targeting, pagination, and return fields, but omits details on rate limits, authentication, or potential blocking. Adequate but not thorough.

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?

Mostly concise with relevant information, but the first sentence duplicates the title. The description is front-loaded with clear action and then detailed features. Slight redundancy prevents a perfect score.

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 no output schema, the description enumerates return fields (title, date, venue, links, etc.) and covers key features. Missing error handling or limits, but sufficient for a scraping tool with this complexity.

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 covers all parameters well. Description adds value by summarizing date filter options and virtual-event toggle, and clarifying the use of location/uule. Though schema is detailed, the description provides useful contextual grouping.

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 the tool scrapes Google Events results with specific filters and returns structured event data. It is unique among siblings as no other tool targets events, so differentiation is implicit.

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?

Explicitly lists use cases such as event-discovery chatbots, local aggregators, calendar sync, competitive monitoring, and pulling upcoming shows/conferences. Provides clear context without needing exclusions.

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