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import_jsonl

Import entities and relations from JSONL-formatted text into a knowledge graph, compatible with MCP memory exports.

Instructions

Import entities and relations from JSONL-formatted text.

Compatible with @modelcontextprotocol/server-memory and other MCP memory exports. Each line should be a JSON object with a 'type' field of 'entity' or 'relation'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
jsonl_contentYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided, so description carries full burden. Describes expected line format but does not disclose error handling, duplicate behavior, or whether it merges or replaces existing data. Leaves significant behavioral gaps.

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 succinct sentences. First sentence states purpose, second adds compatibility and format. No redundancy or filler.

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

Completeness3/5

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

One parameter and an output schema exist; description omits return value details and error cases. Adequate for basic use but lacking edge-case context for a bulk import operation.

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?

Only parameter jsonl_content is explained as JSONL with required 'type' field. Adds meaning beyond schema (which only says string), but could detail valid values and structure more thoroughly.

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?

Clearly states it imports entities and relations from JSONL-formatted text. Mentions compatibility with MCP memory exports, distinguishing it from siblings like create_entities (which handle single items).

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

Usage Guidelines3/5

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

Implies usage for batch import from compatible exports, but lacks explicit when-not-to-use or alternative tools for individual operations. The context of sibling tools partially compensates.

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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