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mcasdfgf

MCP Roo Memory

vector_store

Store text automatically as vectors in Qdrant for quick ad-hoc fact storage. Use this for unstructured data without creating a full graph node.

Instructions

Store text with automatic vectorization into Qdrant. Use for quick ad-hoc storage of facts without creating a full graph node. For structured knowledge, prefer graph_add_node which creates both a graph node and a vector.

workspace_id in metadata is OPTIONAL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes
metadataYes
Behavior3/5

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

No annotations exist, so description carries the burden. It mentions automatic vectorization and optional workspace_id, but lacks details on side effects, persistence guarantees, or failure modes.

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 concise sentences plus a succinct note about workspace_id, with no wasted words and key information front-loaded.

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?

Covers purpose, usage, and a key parameter detail; lacks return behavior but acceptable given no output schema and simple store 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 description coverage is 0%, and description adds minimal parameter context beyond workspace_id being optional; text, node_type, and tags are not explained.

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 text with automatic vectorization into Qdrant and distinguishes it from graph_add_node by specifying it's for ad-hoc storage rather than structured knowledge.

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

Usage Guidelines5/5

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

Explicitly provides when to use (quick ad-hoc storage) and when not to use (prefer graph_add_node for structured knowledge), including an alternative tool.

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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