Test LM Studio tool calling

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

With no annotations, the description must disclose behavioral traits. It mentions deterministic, local, and the round-trip steps, providing some transparency, but does not mention potential side effects, prerequisites (e.g., loaded model), or safety (read-only nature), leaving the agent to infer.

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 efficiently conveys the main purpose and key steps. While it is somewhat jargon-dense, it does not waste words and is appropriately sized for the tool's complexity.

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 output schema exists to document return values, which lightens the burden. However, the description lacks context about prerequisites, how the parameters affect execution, and how this test relates to sibling tool-calling tests. It is adequate but has clear 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 schema has zero description coverage (0%) and the description does not mention the 'model' or 'endpoint' parameters at all. The agent gets no guidance on what these optional parameters control or how to choose between enum values, making the tool very difficult to invoke correctly.

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 runs a 'real deterministic local tool-call round trip' and enumerates the key phases (argument validation, fixture execution, result delivery, continuation verification), which distinguishes it from sibling tools like test_streaming_tool_calling and test_structured_output.

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 this is for testing non-streaming, deterministic tool calls but does not explicitly state when to choose it over alternatives such as the streaming or structured output tests. It lacks explicit exclusionary or alternative guidance.

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