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qdrant

mcp-server-qdrant

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by qdrant

qdrant-find

Search for memories by content in a Qdrant collection to retrieve personal information for analysis.

Instructions

Look up memories in Qdrant. Use this tool when you need to:

  • Find memories by their content

  • Access memories for further analysis

  • Get some personal information about the user

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesWhat to search for
collection_nameYesThe collection to search in
Behavior3/5

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

With no annotations provided, the description carries the full burden. It indicates a lookup operation but does not disclose behavioral traits such as read-only nature, side effects, or output behavior. Adequate for a simple search but missing transparency.

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 short and to the point, with three bullet points. It is efficient with no superfluous information, though it could be even more concise.

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

Completeness3/5

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

Given the tool has 2 required parameters, no output schema, and no annotations, the description provides adequate context for a simple retrieval tool. However, it lacks details on output format and behavioral constraints, making it minimally complete.

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%, so the baseline is 3. The description adds marginal value by linking parameters to use cases (e.g., 'Find memories by their content' maps to query), but does not significantly enhance understanding beyond the schema.

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 'Look up memories in Qdrant' and lists specific use cases, effectively communicating the tool's purpose. It distinguishes itself from the sibling 'qdrant-store' by implying retrieval versus storage.

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 says 'Use this tool when you need to:' followed by bullet points, providing clear context for when to use it. However, it does not mention when not to use it or explicitly contrast with alternatives.

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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