analyze_neighborhood

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

No annotations are provided, so the description carries the full transparency burden. It explains what the tool computes (counts, proximity scores, walkability, transport access) and what it returns (a structured profile with scores and distance metrics), going beyond a simple action statement. It does not disclose data sources, error cases, or auth requirements, but for a benign read-only analysis tool the behavior is well characterized.

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 well-structured with a one-line summary, a supporting paragraph, an Args section, and a Returns section, keeping the most important information front-loaded. It is slightly redundant—categories like amenities and green spaces appear in both the prose and the Returns list—but every sentence adds some value and the overall length is appropriate.

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 and no annotations, the description must explain both parameters and return values, and it does so thoroughly: it lists seven output categories and documents all three parameters with units. For a tool of moderate complexity (3 simple params, no nested objects), this is nearly complete, though it omits edge-case behavior like invalid coordinates or radius limitations.

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?

Although the context signal reports 0% schema description coverage, the description compensates by adding meaning beyond the bare schema: latitude and longitude are labeled 'Center point latitude (decimal degrees)' and radius is clarified as 'Analysis radius in meters (defaults to 1000m/1km)'. This adds units, role, and default interpretation that the schema properties lack, though it does not explain radius limits or coordinate validity.

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+resource: 'Generate a comprehensive neighborhood analysis focused on livability factors' and elaborates with concrete categories (amenities, transportation, green spaces, services). This clearly distinguishes it from sibling tools like find_nearby_places, find_schools_nearby, and analyze_commute, which focus on narrower, single-category lookups rather than a holistic livability score.

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 provides clear use cases: 'Invaluable for real estate decisions, relocation planning, and neighborhood comparisons,' which tells the agent when to select this tool. However, it does not explicitly name alternatives or mention when not to use it, such as when a single category like schools or commute alone is needed.

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