timps-swarm

timps_vector_db_agent

Designs vector database schemas and integration code for Qdrant, Pinecone, Weaviate, or pgvector, translating plain-English requests into ready-to-use solutions.

Instructions

Design Qdrant/Pinecone/Weaviate/pgvector schemas and integration code.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "timps_vector_db_agent"
  }
}

Input Schema

Name	Required	Description	Default
`request`	No	Plain-English task or context for the agent.
`language`	No	Primary programming language (default: python).	python

Schema Changelog

Changes observed during successful MCP inspections.

First observedv2.2.1Aug 20, 2026

TDQS

C2.9/5.0

Behavior2/5

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

There are no annotations, so the description carries the full burden. It only mentions 'design' and 'integration code,' which implies a non-destructive, advisory role, but it does not disclose whether it modifies files, requires specific permissions, or has any side effects. The behavioral scope is unclear.

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 description is a single, concise sentence that conveys the core purpose without redundancy. It is appropriately sized for a simple tool, though it could include more detail without becoming verbose.

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

Completeness2/5

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

Given no annotations, no output schema, and only two parameters fully covered by the schema, the description is minimal. It does not explain the scope of design (e.g., does it generate code files?), the expected output format, or any constraints on the request. This is insufficient for an agent to effectively use the tool for complex design tasks.

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?

Both parameters are described in the schema with 100% coverage. The description does not add extra meaning beyond the schema, but the schema already explains 'request' and 'language'. The description implies the request is a design task, but that's already evident from the tool name and description.

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 tool's function: designing vector database schemas and integration code for specific technologies (Qdrant, Pinecone, Weaviate, pgvector). It is specific and action-oriented, though it does not explicitly differentiate from sibling tools like timps_db_agent, which could also handle database tasks.

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

Usage Guidelines2/5

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

No usage guidance is provided. The description does not indicate when to use this tool versus alternatives (e.g., timps_db_agent for general databases) nor any prerequisites or context. It is left to the agent to infer.

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

Deploy Server