find_face_by_coordinate

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 says 'closest', but does not explain whether matching is exact or nearest-neighbor, what role `tolerance` plays, what coordinate frame is expected, whether the search covers the whole instance, or what happens if no face matches.

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 one short sentence with no wasted words and the verb is front-loaded. It is concise but not under-specified to the point of meaninglessness. Still, it could have added key behavioral/parameter context without becoming verbose.

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?

For a tool with five parameters, no annotations, and zero schema description coverage, this description is too sparse. It does not explain the geometric search semantics, the effect of `tolerance`, the purpose of `model_name`, or how this lookup fits into the larger modeling workflow. The presence of an output schema reduces the need to describe return values, but many functional gaps remain.

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 0%, so the description must compensate. It names `coordinate` and `instance_name` indirectly, but it fails to explain `tolerance`, `timeout`, or `model_name`. An agent cannot infer the meaning or expected format of these parameters from the description alone.

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 states a specific verb ('Find') and resource ('face index of an instance') with a clear criterion ('closest to the given coordinate'). It is not a tautology and it clearly indicates what is returned. However, it does not explicitly contrast with the sibling `find_edge_by_coordinate`, so sibling differentiation is only implicit via the word 'face'.

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 no guidance on when to use this tool versus alternatives such as `find_edge_by_coordinate` or other selection tools. It does not mention typical use cases, prerequisites, or situations where another lookup tool would be more appropriate.

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