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

Beyond the read-only/idempotent annotations, the description discloses real behavior: no-select returns a summary plus a section index; an unknown select path returns didYouMean with valid paths; sections='all' vs sections=['layers'] (the latter Census-only with theme or query); detail='full' adds yearly series; multi-id calls render a compare view with a leader per fact; unknown ids land in errors while the rest are answered. It also notes each item carries nav and a site url and that figures match the site's pages.

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 core claim is front-loaded, which is good, but the body is a single telegraphic run-on of colon- and semicolon-joined fragments that is hard to parse on first read. Almost every clause carries information (little true padding), yet the density and lack of sentence structure work against comprehension.

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 an output schema present and annotations carrying the safety profile, the description need not explain return shapes, and it still adds section/compare/error semantics. What is missing is the relationship to the many overlapping get_* siblings, which is the main remaining ambiguity for correct tool selection.

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%, so baseline is 3, but the description genuinely adds semantics: concrete dotted-path examples for select (safety.rate, layers.air-no2, flood, rents), the didYouMean fallback for bad paths, and what sections='all' and sections=['layers'] actually return. It leaves period, query, theme, intent and rate_previous entirely to the schema, which is acceptable at full coverage but caps the score below 5.

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?

Opens with a specific verb+resource+scope: 'Everything about 1-10 things by typed id', then enumerates the id namespaces and what comes back (text, how a figure is made, what it cannot say). It distinguishes itself from search_places ('finds ids from names') and describe_data (lists guide articles). It does not, however, differentiate itself from close siblings such as get_area_overview, get_area_metric or query, which appear to overlap with 'everything about' a place.

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?

Some routing is present: search_places resolves names to ids, describe_data lists guides, and guide ids must be sent 'in a call of its own'. The multi-id compare view is also implied usage. But there is no explicit statement of when to prefer this over get_area_overview/get_flood_risk/get_home_prices, so the agent must infer selection from the sibling list.

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