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lna-lab

distill-kura

by lna-lab

kura_list

List stored memories and their agent modes to identify which memory context you are in before switching.

Instructions

List the kura this server holds and which agent mode each one belongs to. Call it when you are unsure which memory you are speaking from, or before switching.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 states the operation (list) and the output (kura and agent modes) but does not mention side effects, read-only nature, performance, or any edge cases. Adequate but not rich for a tool without annotation safety signals.

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?

Two sentences, zero wasted words. The first sentence states the core function; the second provides immediate usage context. Information is front-loaded and every word serves a purpose.

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 no-parameter list tool with no output schema, the description explains what is listed and exactly when to invoke it. It could mention what 'kura' refers to or if results are ordered, but the definition is sufficient for an agent to decide and call it correctly.

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 the schema coverage is trivially 100%. Per the rubric, 0 params earns a baseline of 4. The description does not need to add parameter details since none exist.

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

Purpose4/5

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

The description clearly states the verb 'list', the resource 'kura', and what is listed (which agent mode each belongs to). It implies a distinction from siblings like kura_read or kura_recall by focusing on the server's collection and mode mapping, though it does not explicitly name alternatives.

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 gives explicit when-to-use guidance: 'Call it when you are unsure which memory you are speaking from, or before switching.' It lacks explicit when-not-to-use or named alternative tools, but the usage context is concrete and helpful.

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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