get_nearby_notable_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 behavioral disclosure. It mentions 'notable/rare observations' but doesn't explain what qualifies as notable/rare, how results are sorted, whether there are rate limits, or what the output format looks like. For a tool with 8 parameters and no output schema, this is a significant gap in transparency.

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, efficient sentence: 'Get notable/rare observations near a location.' It's front-loaded with the core purpose and contains no unnecessary words, 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?

Given the tool's complexity (8 parameters, no annotations, no output schema), the description is incomplete. It doesn't explain what 'notable/rare' means, how observations are returned, or any behavioral traits like pagination or error handling. For a data-fetching tool with many parameters, this leaves critical context gaps.

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?

The input schema has 100% description coverage, so parameters like 'lat', 'lng', 'back', 'detail', 'dist', 'hotspot', 'max_results', and 'spp_locale' are well-documented in the schema. The description adds no additional parameter semantics beyond implying location-based filtering. Baseline 3 is appropriate since the schema does the heavy lifting.

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 clearly states the tool's purpose: 'Get notable/rare observations near a location.' It specifies the verb ('get'), resource ('notable/rare observations'), and scope ('near a location'). However, it doesn't explicitly differentiate from sibling tools like 'get_nearby_observations' or 'get_notable_observations', which reduces clarity about its unique role.

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 no guidance on when to use this tool versus alternatives. With many sibling tools (e.g., 'get_nearby_observations', 'get_notable_observations'), there's no indication of how this tool differs in context, such as filtering for rarity or specific location-based queries. This leaves the agent without clear usage direction.

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