get_events_overview

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

No annotations are provided, so the description carries the full burden. It discloses the return structure (a dictionary with counts by eventType/status and upcoming events) and the read-only, overview nature of the tool. While it doesn't mention permissions or edge cases, the simplicity of a zero-parameter overview tool makes this adequate.

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 and front-loaded: it states the purpose in the first sentence, then explains what is returned and offers a usage hint. The separate 'Returns' line is redundant but not wasteful. Every sentence earns its place.

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 zero-parameter tool with an output schema, the description fully covers the essential aspects: purpose, return content, and when to use it. It is complete and appropriately scoped to the tool's simplicity.

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 has zero parameters, so the baseline is 4. The description adds no parameter details, but no parameters exist to explain. The schema is empty and additionalProperties is false, so there is nothing else to clarify.

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 provides a 'quick overview of the Events collection' and specifies the exact breakdowns returned (counts by eventType/status, number of upcoming events). This distinguishes it from sibling tools like get_events or get_events_for_detail_generation, which focus on retrieving or processing event data rather than summarization.

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 gives a clear usage context: 'Use this to decide what to review or process next.' This tells the agent when to choose this tool for high-level assessment. However, it does not explicitly name alternatives or state when not to use it, so it falls short of a 5.

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