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ssolis-ti

CrewAI MCP Orchestrator

crewai_query_knowledge

Look up how to use any CrewAI feature, tool, or pattern by querying the internal documentation RAG engine. Returns relevant snippets with source URIs.

Instructions

Query the internal CrewAI documentation RAG engine.

Use this when you need to look up how to use a specific CrewAI feature, tool, or pattern. It searches the official documentation and returns relevant snippets with their source URIs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
limitNo
categoryNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Without annotations, the description carries the full burden. It discloses that the tool is a read-only query (searches and returns snippets) and explains the output format (snippets with source URIs). No contradictions or hidden side effects are suggested.

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 two short paragraphs with no filler. It front-loads the core purpose and then adds usage guidance and output format. Every sentence is meaningful and earns its place.

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 the presence of an output schema and the simplicity of the tool (3 params, 1 required), the description provides a sufficient high-level understanding. However, the omission of parameter semantics for limit and category reduces completeness slightly.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It only implicitly covers the 'query' parameter by mentioning 'searches the official documentation.' The 'limit' and 'category' parameters are not explained, leaving the agent unsure about their meaning.

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 that the tool queries an internal CrewAI documentation RAG engine and returns snippets with source URIs. This is a specific verb-resource pair, distinct from sibling tools like crewai_create_project or crewai_kickoff.

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 when you need to look up how to use a specific CrewAI feature, tool, or pattern.' It provides clear guidance on when to use the tool, though it does not mention when not to use it or 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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