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health

Check OpenLMlib database and vector index status to debug errors, verify initialization, or assess system readiness. Returns database size, finding count, and index status.

Instructions

Check OpenLMlib database and vector index health.

AUTOMATIC TRIGGERS - Call this when:

  • Debugging tool errors or unexpected behavior

  • User asks about the system status

  • Verifying initialization succeeded

Returns database size, finding count, vector index status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description carries the behavior burden. It discloses the tool is a health check and what it returns (database size, finding count, vector index status). The 'Check' wording implies a non-destructive read-only operation, though it does not explicitly state that no mutations occur.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and well-structured: a one-sentence purpose, a clear trigger list, and a short return summary. Every section earns its place, and the most important information is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter diagnostic tool with no output schema, the description fully equips an agent to know when to call it and what to expect back. No critical context is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters and schema coverage is 100%, so there is no param semantic burden on the description. Baseline 4 is appropriate; no param explanation is needed.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Check') and a specific resource ('OpenLMlib database and vector index health'), and further clarifies the tool's purpose with return values. The automatic trigger list makes it clear this is a diagnostic/status tool, distinct from session or context checkers.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The 'AUTOMATIC TRIGGERS' section explicitly lists three concrete situations when to call this tool (debugging, system status queries, verifying initialization). It lacks explicit 'when not to use' or alternatlive mentions, so it does not fully meet the 5-level bar, but provides strong guidance.

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

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