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

With no annotations, the description carries the behavioral transparency burden. It usefully discloses that the data is computed daily from roughly 165,000 listings and is free to cite under CC BY 4.0. However, it doesn't describe the return format, structure, or any access constraints, leaving the agent to guess what the actual output looks like.

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 two sentences and front-loads the core value proposition before giving usage examples. Every clause adds useful context: data type, dimensions, method, frequency, sample size, citation terms, and likely user questions.

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 no-parameter, no-output-schema tool, the description is quite complete: it states what data is included, how it is computed, its licensing, and when to use it. The main gap is that it never describes the response shape, but given the simple nature of the tool this is a minor omission.

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 description does not need to explain parameter behavior. Nothing in the description conflicts with the empty schema, and the baseline of 4 applies because no parameter documentation is required.

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 identifies a specific resource: median US live-event ticket entry prices, broken out by market, category, and day of week. It stops short of using an explicit verb like 'returns' or 'provides,' but the 'useful for answering' examples make the purpose clear and differentiate it from sibling event listing tools.

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 concrete example queries that should route an agent to this tool, such as 'how much are tickets in {city}' and 'is it cheaper midweek.' It does not explicitly say when not to use it or name alternatives, but the use cases are specific enough for basic selection.

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