get_nasdaq_earnings_calendar

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

With no annotations, the description carries full burden. It discloses behavioral traits: 'Returns up to 500 companies' (limit), 'Defaults to today's date if not specified'. It implies read-only and safe operation but could mention lack of side effects explicitly.

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 compact 4-sentence paragraph with no wasted words. It front-loads the main purpose and every sentence adds value: outputs, limit, usage scenarios, examples.

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 adequately explains return fields (company names, ticker, estimates). It also covers the date default and limit. Could mention error handling or response structure for missing data, but sufficient for typical use.

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 description coverage is 0% for the top-level parameter, but the description adds meaning: explains date format, default behavior, and maximum limit. It compensates well, though the nested schema structure is not clarified.

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 specifies the verb 'Get upcoming earnings announcements' and the resource 'for a specific date' with detailed outputs (company names, ticker, EPS estimates, etc.). It distinguishes from siblings like get_earnings_history by focusing on calendar date rather than historical data.

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 provides explicit usage scenarios: 'Use this when asked about earnings calendar, who reports today/tomorrow...' and gives example queries. It does not explicitly state when not to use it or alternatives, but the context is clear and helpful.

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