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omni_research

Conducts research by orchestrating graph RAG, hypothesis generation, and synthesis tasks through a unified interface.

Instructions

Research & Science: graph RAG, agentic RAG, self evolution, hypothesis gen, quality gate, synthesis engine, LLM router, memory bridge, tool discovery, sentinel, LLM output evaluation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tool_targetYesThe precise sub-tool to execute within this omni-cluster.
payloadYesThe arguments payload exactly matching the target tool's native inputSchema requirements.
Behavior1/5

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

No annotations are present, so the description must fully disclose behavioral traits. It does not mention destructiveness, authentication, state changes, or any side effects.

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

Conciseness2/5

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

Description is a single long list, not concise or front-loaded with a clear function. It wastes space on enumeration rather than providing compact, structured information.

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?

Given no output schema and no annotations, the description is severely incomplete. It fails to explain routing logic, return values, or usage nuances for a complex multi-sub-tool.

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 coverage is 100% but description adds no meaning beyond the enum and payload description. It merely repeats the list of sub-tools without explaining their purpose or payload requirements.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description lists sub-tools but fails to state the overall function of omni_research. It does not use a specific verb+resource and does not distinguish from sibling tools like omni_assistant or omni_automation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives. No when-to-use or when-not-to-use information provided.

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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