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

Annotations are absent, so the description carries the full disclosure burden. It partly meets that burden by describing the return shape: a 'summary' with health assessment and advice, 'readings' from nearby monitors, and 'metadata' on freshness and sources. It still omits permissions, rate limits, behaviour on an unresolvable location, and units of measurement.

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, followed by a returns section and an Args block, so the reader can scan in order. Nearly every sentence carries information, though the 'Also returns...' sentence partly restates the first paragraph's health-context framing.

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 four parameters, 0% schema coverage, no annotations, and no output schema, the description does the heavy lifting well: it documents every argument with examples and describes the three return fields an agent must present. Residual gaps are units, freshness thresholds, and failure modes, which are minor for a current-conditions read 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 description coverage is 0%, so the description must supply parameter meaning, and it does so for all four arguments. Examples: location accepts a postcode, place name, or 'lat,lon'; radius_km gives the default; and pollutants and sources get concrete example values. It does not state the default or behaviour when filters match no monitors.

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 and resource: 'Get the most recent air quality readings near a location, with health context.' That clearly separates it from get_historical_aq (past data) and from the kb_* explainer tools. It does not name a sibling outright, so an agent must infer from the names that this is the current-conditions tool rather than the comparison or trend tool.

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 only real usage direction is the output instruction 'Present the summary to users first,' which tells the agent how to order what it shows the user. The description gives no explicit when-to-use or when-not-to-use guidance versus assess_location_aq, get_aqi_summary, or compare_locations, so choosing between those siblings is left to inference from their names.

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