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

Beyond the readOnly/idempotent annotations, it discloses the cost (1 credit), plan availability (every plan), and a data-model nuance that spelling variants of one track share a venue_id. That last point is behavioral context no structured field carries and directly prevents a wrong join strategy.

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?

Two sentences, zero filler, with the field list and the join-key rule front-loaded. Every clause earns its place — content, then the trap to avoid, then cost.

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?

An output schema exists, so return values need not be explained, yet the description still names the fields to set expectations. For a zero-parameter read-only reference lookup, an agent has everything needed to call it correctly.

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 takes zero parameters, so the baseline is 4; there is nothing for the description to disambiguate. The field enumeration it does provide describes the result shape rather than any input semantics.

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 states a specific resource and enumerates what it holds (venue_id, display name, physical site, country, codes). An agent knows exactly what this tool returns, though no sibling tool is named to sharpen the boundary against e.g. track_conditions or race_card.

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?

It gives one concrete usage rule — resolve spelling variants by joining on venue_id, not the venue string — which is real guidance an agent would otherwise get wrong. It stops short of saying when to call this vs. alternatives, so it is clear context without exclusions.

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