octree_spatial_partition_query

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

No annotations are provided, so the description carries the full behavioral disclosure burden. It usefully adds algorithmic complexity, dynamic builder behavior, and scale expectations. However, it does not disclose input/output structure, potential side effects, state persistence, or response format.

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, information-dense sentence followed by a brief cost parenthetical. Every part earns its place, and the core functionality is front-loaded.

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?

The description explains the algorithm and scale well, but it omits the payload contract and output format, and there is no output schema to compensate. An agent would not know how to construct the JSON payload, what parameters to include for radius or k-NN queries, or what the response looks like.

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 both payload and paymentSignature described generically. The tool description does not add domain-specific parameter semantics, such as what the payload should contain or how coordinates/queries should be structured, so it relies on the schema's baseline coverage.

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 function: a dynamic 3D Octree builder that supports O(log N) radius range queries and k-nearest neighbors over millions of 3D points. This is specific and distinguishes it from spatial sibling tools like bounding_volume_hierarchy_builder by naming its exact query capabilities.

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 gives clear context on when to use this tool: for radius range and k-NN spatial queries on large 3D point sets. It does not explicitly name alternatives or exclusions, but the use case is specific enough to guide selection among the many 3D-related sibling tools.

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