generate_google_flights_url

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

With no annotations provided, the description carries the full burden. It discloses that the tool generates URLs for browser use and handles natural language queries, which is useful behavioral context. However, it doesn't mention potential limitations like URL length constraints, error handling, or authentication needs, leaving gaps for a mutation-like tool (URL generation).

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 well-structured with clear sections (purpose, args, returns, examples) and uses bullet-like formatting for parameters. It's appropriately sized, though the example args could be integrated more seamlessly. Every sentence adds value, with no redundant information.

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's moderate complexity (7 parameters, no annotations, but with output schema), the description is largely complete. It explains parameters thoroughly, states the return format (JSON with URL), and provides examples. The output schema handles return values, so the description doesn't need to detail them further. Minor gaps include lack of error case explanations.

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 schema description coverage is 0%, so the description must compensate fully. It provides detailed parameter semantics in the 'Args' section, explaining each parameter's purpose, format (e.g., airport codes, YYYY-MM-DD), defaults, and optionality. This adds significant value beyond the bare schema, making parameters clear and actionable.

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's purpose: 'Generate a Google Flights search URL that opens in the browser' and 'Creates search URLs using natural language queries.' It specifies the verb ('generate'), resource ('Google Flights search URL'), and distinguishes it from sibling tools that perform actual flight searches rather than URL generation.

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 usage context by mentioning 'natural language queries' and the browser opening, but it doesn't explicitly state when to use this tool versus the sibling flight search tools. No alternatives or exclusions are provided, leaving the agent to infer based on tool names.

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