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knowledge_query

Read-onlyIdempotent

Search a knowledge store using natural language queries to retrieve relevant objects from specified collections.

Instructions

[DEPRECATED] Search knowledge store using natural language.

Deprecated: Use knowledge_search instead, which now includes Cohere reranking and Flash summarization for better results with lower token usage.

Uses Weaviate AsyncQueryAgent in search mode for intelligent object retrieval.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesNatural language search query
collectionsNoCollections to search (all if omitted)
limitNoMax results

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, so no contradiction. The description adds technical detail about using Weaviate AsyncQueryAgent but does not disclose behavioral traits beyond what annotations provide.

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?

The description is concise with 3 sentences, front-loading the deprecation warning and alternative. No unnecessary information.

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?

Given that the tool is deprecated and annotations are thorough, the description is complete enough for its purpose. An output schema exists, so return values are covered. A minor point: it could mention that results are retrieved objects, but not critical.

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?

The input schema has 100% coverage, so the schema itself documents all parameters. The description does not add meaning beyond the schema, meeting the baseline expectation.

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's purpose: searching a knowledge store using natural language. It also explicitly notes that the tool is deprecated and directs to the alternative 'knowledge_search', distinguishing it from siblings.

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?

The description explicitly says it is deprecated and recommends using 'knowledge_search' instead, providing clear guidance on when not to use this 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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