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Lamatic
by Lamatic

docs_query_docs

Get precise answers to any question about Lamatic.ai documentation by searching all indexed docs with RAG.

Instructions

Ask any question about Lamatic.ai documentation. Uses RAG to search across all indexed docs and return a precise answer. No authentication required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesThe question to ask about Lamatic.ai documentation
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It mentions using RAG and returning a 'precise answer', but does not detail output format, handling of ambiguous queries, or any limitations. It is not misleading but lacks depth.

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?

Three sentences: purpose, mechanism, authentication. No wasted words, front-loaded with the main action. Very concise.

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

Completeness4/5

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

For a simple one-parameter tool with no output schema, the description covers the essentials. It could mention answer format (e.g., textual response with citations) but is otherwise complete enough given the simplicity.

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

Parameters3/5

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

Schema coverage is 100% and the parameter 'text' is well-described in the schema. The description adds no additional semantics beyond what the schema already provides, so baseline 3 is appropriate.

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 clearly states the verb 'ask', the resource 'Lamatic.ai documentation', and the mechanism 'RAG'. It distinguishes itself from sibling tools by focusing on documentation queries, which are not covered by other tools like dev_* or kit_*.

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 description says 'Ask any question' and notes 'No authentication required', which gives context. However, it does not explicitly compare to sibling tools like 'kit_search' or 'kit_get' to clarify when to use this tool instead.

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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