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

Annotations already declare readOnlyHint=true, so the description doesn't need to cover safety. It adds meaningful context: score range, methodology, county coverage, output fields, and update cadence. It does not disclose potential edge cases (e.g., missing data), but given annotations, this is solid.

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 front-loaded with the purpose, then output fields, use cases, and update cadence. It is dense but each clause earns its place. The first sentence is long but readable; no redundant filler. Slightly below 5 due to the long first sentence and somewhat vague 'updates on source cadence.'

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?

With no output schema, the description compensates by listing all returned fields (attractions_score, national_percentile, county_rank, category_breadth, attraction_density, as_of, methodology_version). It also covers scope (all US counties), use cases, and data update behavior. This is a complete, self-contained reference for invoking this tool.

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 coverage is 100% and the days parameter description is detailed (history series, max 5 years, Gold tier requirement). The main description does not add any parameter-specific meaning beyond the schema, so the baseline of 3 is appropriate.

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 opens with a specific verb ('Returns') and resource ('0-100 local-attraction richness score for all 3,222 US counties'), then details the methodology and output fields. This clearly distinguishes the tool's purpose, especially within the large adw family of data 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?

Explicitly states when to call: 'Call when the user asks how attraction-rich a county or destination is, compares travel markets, or when timing hotel, short-term-rental, or tourism site-selection decisions.' It does not mention when not to use it or alternatives, so it misses the 'when-not' part of a 5.

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