Summarize LM Studio capabilities

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

The description mentions the tool separates declared vs detected vs verified evidence, hinting at its internal categorization behavior. However, it does not disclose whether it is read-only, requires a loaded model, or what side effects it may have. With no annotations, this is insufficient.

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 concise fragment, but its brevity comes at the cost of clarity. It lacks a clear subject/verb structure and provides no scaffolding for the agent to understand the tool's role.

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 17 sibling tools and an optional model parameter, the description is exceptionally thin. It does not explain what distinguishes this tool from list_models, inspect_model, or test_capability tools. The presence of an output schema does not compensate for the lack of usage context.

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 a single optional 'model' parameter with no description and zero schema description coverage. The tool description does not mention the 'model' parameter at all, leaving the agent to guess whether it filters, targets, or is ignored.

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 uses the verb 'Separate' and references capability evidence categories, but it never explicitly states that the tool summarizes or reports LM Studio capabilities. The title clarifies the purpose, but the description itself is ambiguous, leaving the agent unsure whether the tool returns a summary, a report, or performs an action.

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?

No information about when to use this tool instead of sibling tools like lmstudio_status or lmstudio_list_models. No prerequisites, no exclusions, and no alternative guidance.

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