get_nearby_notable_observations

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the purpose and does not explain what constitutes 'rare/unusual', whether results are sorted by distance, if authentication is needed, or what response format to expect. This is a notable gap for a tool with zero annotation support.

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 sentence of seven words, front-loaded with the verb and resource. Every word is meaningful, with no redundancy or filler, making it highly concise and well-structured.

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?

Despite a relatively simple schema, the description is incomplete for an agent to confidently use this tool. It lacks usage guidelines, differentiation from similar sibling tools (e.g., get_nearby_observations, get_notable_observations), and behavioral context. The absence of an output schema further increases the need for description details that are not provided.

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%, with all four parameters (lat, lng, back, dist) having descriptions. The tool description adds no additional meaning beyond the schema, so the baseline score of 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?

The description 'Get rare/unusual observations near a location' clearly states a specific verb (get), resource (observations), and qualifiers (rare/unusual, near a location). This distinguishes it from siblings like get_nearby_observations (likely all observations) and get_notable_observations (possibly without location focus).

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 implies the tool is for finding notable bird sightings in a specific area, offering clear context for use. However, it does not explicitly mention when not to use it or name alternative tools, so it falls short of a full when/when-not/alternatives explanation.

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