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azhang

qdrant-llamaindex-mcp-server

by azhang

qdrant-add-documents

Batch-add documents with content, optional IDs, and metadata to a specified Qdrant collection.

Instructions

Add multiple documents in batch.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
documentsYesList of documents to add. Each document should have 'content' and optionally 'id' and 'metadata'.
collection_nameYesThe collection to add documents to
Behavior2/5

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

With no annotations, the description must cover behavioral traits. It only states the additive nature ('Add') without revealing side effects (e.g., upsert vs. append, whether duplicate IDs cause errors), required permissions, or cost implications. The batch behavior is mentioned but not detailed (e.g., atomicity, size limits). This is insufficient for safe invocation.

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 extraordinarily concise—one sentence of five words. It is front-loaded with the core action. However, the extreme brevity may sacrifice needed detail; a slightly longer description could improve clarity without losing conciseness. Overall, it is efficient but not optimally informative for a batch mutation tool.

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 the tool is a mutation with no output schema and no annotations, the description should elaborate on return values, error handling, and batch limits. It does not explain what happens on success, how to handle failures, or whether the operation is idempotent. The agent is left underspecified for robust usage.

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 100% (both parameters documented in the schema). The description adds no extra meaning beyond the schema's docstrings, such as expected formats for 'id' or 'metadata', or constraints on 'collection_name'. At baseline 3, it meets adequacy but does not enhance understanding beyond the structured JSON.

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 action ('Add'), the resource ('multiple documents'), and the approach ('in batch'). It distinguishes from sibling tools like qdrant-delete-documents, though it doesn't explicitly contrast with qdrant-store. The brevity leaves ambiguity about whether this replaces or supplements existing documents, but the core purpose is evident.

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 versus alternatives (e.g., qdrant-store for single documents, or qdrant-delete-documents for removal). It does not mention prerequisites, such as requiring an existing collection, nor does it advise against concurrent batches. The agent receives no strategic context for tool selection.

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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