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Delagund

LLM Wiki MCP Server

by Delagund

save_note

Save a note with automatic YAML metadata extraction, text segmentation, and embedding generation for semantic memory in a Markdown knowledge base.

Instructions

Ingesta una nota con embeddings. Extrae metadata YAML, asigna project_id e is_global, segmenta el texto, genera embeddings (con timeout) y persiste atómicamente.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYes
file_pathYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

With no annotations, the description fully discloses the complex behavior: YAML extraction, assignment of project_id/is_global, text segmentation, embedding generation with timeout, and atomic persistence. This exceeds typical transparency.

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

Conciseness4/5

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

The single sentence is dense but informative. It front-loads the main action ('Ingesta una nota con embeddings') and lists steps. Could be slightly more structured for readability.

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?

Given complexity and lack of annotations, the description covers key processing steps. It doesn't mention errors, prerequisites, or input format details, but output schema may compensate for return values.

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

Parameters2/5

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

Schema description coverage is 0%. The description does not explain the parameters (file_path, content) beyond their names, leaving ambiguity about their meaning or expected format.

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 tool ingests a note with embeddings, listing specific processing steps. It distinguishes from siblings like list_notes and search_wiki, which are retrieval-focused.

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?

The description implies usage for adding a note but does not explicitly state when to use vs. alternatives or provide exclusions. No guidance on prerequisites or context.

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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