health_check

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 states the tool checks if LM Studio is 'running and responding' which implies a read-only diagnostic operation. However, it doesn't disclose important behavioral details like what specific response format to expect, whether there are rate limits, or what happens if LM Studio is not running. The 'SAVES' section mentions it 'saves Claude context for strategic decisions' which adds some useful behavioral context.

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 structured with clear sections (main purpose, WORKFLOW, TIP, SAVES) but contains some redundancy. The 'TIP' section essentially repeats the workflow guidance. The 'SAVES' section adds value but could be more integrated. While appropriately sized, not every sentence earns its place equally.

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 this is a simple diagnostic tool with one optional parameter (100% schema coverage) and no output schema, the description provides adequate context. It explains the purpose, provides clear workflow guidance, and adds behavioral context about saving Claude context. For a tool of this complexity, the description is reasonably complete, though it could benefit from more detail about the expected response format.

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 100% description coverage, with the single parameter 'detailed' well-documented in the schema itself. The description doesn't add any additional parameter information beyond what's already in the schema. According to the scoring rules, when schema_description_coverage is high (>80%), the baseline is 3 even with no param info in the description.

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 purpose: 'Check if LM Studio is running and responding.' This is a specific verb ('Check') and resource ('LM Studio') combination. However, it doesn't explicitly distinguish this from sibling tools like 'list_functions' or 'get_cache_statistics' that might also provide system status information.

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 provides explicit usage guidance: 'Start with health_check, use list_functions to explore capabilities.' This clearly indicates when to use this tool (first in workflow) and mentions an alternative tool ('list_functions') for different purposes. The 'WORKFLOW' section reinforces this strategic positioning.

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