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ollqd

ollqd

by leomarviegas
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
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index_documents

Index document files into Qdrant vector store to enable semantic search using Ollama embeddings.

Instructions

Index document files (markdown, text, etc.) into Qdrant.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "paths": "<paths>"
    },
    "name": "index_documents"
  }
}

Input Schema

NameRequiredDescriptionDefault
pathsYes
chunk_sizeNo
collectionNodocuments
source_tagNodocs
chunk_overlapNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.0

TDQS

C2.6/5.0
Behavior2/5

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

With no annotations, the description must reveal behavioral traits. It does not mention if indexing overwrites existing data, requires authentication, or handles errors. The chunking behavior is implied but not explained.

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

Conciseness3/5

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

The description is a single sentence, but it is too brief given the tool's complexity. Conciseness sacrifices necessary detail.

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

Completeness1/5

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

With 5 parameters, no output schema, and no annotations, the description lacks critical information about return values, error handling, and behavior beyond the literal indexing action.

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

Parameters1/5

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

The schema has 0% description coverage for parameters, and the description adds no meaning beyond names and defaults. It fails to explain what 'chunk_size' or 'collection' control.

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 verb 'Index' and resource 'document files (markdown, text, etc.)' into Qdrant. It effectively distinguishes from sibling tools like delete_collection or semantic_search.

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 guidance is provided on when to use this tool vs alternatives, such as index_codebase for code files. No prerequisites or conditions are mentioned.

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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