get_nearby_observations

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

No annotations are provided, so the description carries the full burden of disclosing behavior. It does not mention read-only nature, authentication requirements, rate limits, result sorting, pagination, or potential side effects. The description only restates information already present in the tool name and schema.

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 a single, front-loaded sentence that immediately communicates the purpose and a use case. There is zero fluff or repetition of schema details, making it highly efficient.

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 should compensate by explaining return format, sorting, or other behavioral details. It only provides a high-level purpose and use case. The tool has 6 parameters and many siblings, so more context is needed to make it self-sufficient.

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% (all 6 parameters have descriptions), so baseline is 3. The description adds no parameter-specific semantics beyond what the schema already provides, which is acceptable but not additive.

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?

Description clearly states the tool gets recent observations near a latitude/longitude, with a concrete use case ('what birds are near me right now'). This differentiates it from siblings like get_recent_observations (which likely lacks location filtering) and get_nearby_notable_observations (which adds a notable filter).

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?

Provides a clear use case ('what birds are near me right now') which implies when to use it, but it does not explicitly mention alternatives or when not to use it. Given the large sibling list with overlapping tools, more explicit guidance would be beneficial.

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