Skip to main content
Glama
VelixarAi

Velixar MCP Server

Official
by VelixarAi

velixar_batch_store

Store up to 20 memories in a single API call for bulk imports or multi-fact storage. Ideal for populating an AI assistant's memory efficiently.

Instructions

Store multiple memories in one call. Returns per-item status. Use for bulk imports or multi-fact storage. Max 20 items per call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYesArray of memories to store (max 20)
Behavior3/5

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

With no annotations, the description carries full burden. It discloses return format (per-item status) and max items (20), but does not mention potential side effects, error behavior, or authorization needs. Adequate but not comprehensive.

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, front-loaded with core action, and concise. Every sentence adds value without redundancy.

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 the tool has one parameter and no output schema, the description adequately covers purpose, usage, and limits. Missing minor details like error handling, but complete enough for a batch 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?

Schema coverage is 100%, so baseline is 3. The description adds return behavior context but does not add meaning to the parameter beyond what schema already provides (array of memories, max 20).

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 stores multiple memories in one call, using specific verb and resource. It implicitly distinguishes from velixar_store (single memory store) by emphasizing 'multiple' and 'batch' context.

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 explicitly recommends use for bulk imports or multi-fact storage, providing clear usage context. However, it does not explicitly exclude cases where a single memory should be stored via velixar_store, leaving a minor gap.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/VelixarAi/velixar-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server