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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safe-read profile is covered. The description adds useful context about the dataset's temporal coverage (since 2012) and joined fields, but does not disclose pagination behavior or return shape details. With annotations carrying the safety profile, a 3 is appropriate.

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?

A single efficient sentence that front-loads the verb and resource, with no wasted words. The parenthetical data-source detail is packed but justified because it characterizes the corpus.

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 24 parameters, an output schema, and full schema coverage, the main missing piece is routing guidance versus sibling tools (facets, item). The description adequately characterizes the dataset but leaves the agent without guidance on when to prefer it over its siblings.

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 description coverage is 100%, so all 24 parameters are already documented in the schema, including allowed sort values, defaults, and filter semantics. The description adds no parameter-level detail beyond what the schema provides, so the baseline 3 applies.

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?

States a specific verb (Search) and resource (US housing markets dataset) plus the data provenance (Redfin monthly market stats joined to Census income). It clearly identifies the dataset, though it does not distinguish itself from the sibling datasets_housing_markets_facets or datasets_housing_markets_item tools, so it falls just short of a 5.

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 no explicit when-to-use guidance, no alternative tools to prefer for facets or single-record lookups, and no exclusions. The agent must infer its role purely from the name and the sibling list.

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