Export LM Studio capability snapshot

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

With no annotations, the description carries the full burden for behavioral disclosure. It clearly states the tool returns a deterministic-schema, secret-free snapshot, provides a digest, and does not write files or rerun tests. This adds valuable context about side effects and output guarantees, though it could mention potential failure modes or permission requirements.

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 two sentences, front-loaded with the primary purpose. Every sentence adds value: the first explains what is returned, the second clarifies non-behaviors. There is no fluff or repetition.

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 covers return values, and the tool has only one optional parameter, reducing complexity. However, the description lacks an explanation of the 'model' parameter and does not provide explicit usage guidance against sibling tools. It is adequate but has clear gaps in parameter semantics and 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 input schema has one optional 'model' parameter with no description, and the schema description coverage is 0%. The description does not mention this parameter or its effect, leaving the agent to guess whether it filters the snapshot or controls something else. The description fails to compensate for the lack of schema documentation.

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 action ('Return a deterministic-schema, secret-free capability snapshot plus canonical JSON and its SHA-256 digest'), clearly identifying the resource and outputs. It is more specific than the title, but it does not explicitly distinguish from sibling tools like lmstudio_capabilities, which may offer similar functionality.

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 usage through the phrase 'does not write files or rerun capability tests', which clarifies constraints, but it does not explicitly state when to use this tool versus alternatives (e.g., lmstudio_capabilities) or provide exclusions. The intended use case is only inferable.

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