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omni_assistant

Directs requests to specialized AI tools for reasoning, web search, memory, and code analysis, orchestrating complex workflows.

Instructions

Core AI intelligence: reasoning, budget, auto-update, prompts, web search (speed/balanced/quality modes + domain filter), code analysis, docs, sequential thinking, expert toolkits, knowledge engine, memory graph, semantic memory (vector search), context7 library docs.

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.
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It fails to mention that the tool is a router, authentication needs, rate limits, or error behavior. Only a list of capabilities is given, which is insufficient.

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

Conciseness3/5

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

The description is one long sentence listing many items without structure or prioritization. It could be more organized into categories or bullet points for readability.

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?

For a complex router with 15 sub-tools, the description lacks details about each sub-tool's purpose and behavior. No output schema is provided, and the description does not fully equip an AI agent to use the tool correctly.

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 coverage is 100% and describes both parameters. The description adds no additional meaning beyond the schema; it merely lists sub-tool names. Baseline score of 3 is appropriate.

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 lists many capabilities, indicating this is a multi-purpose router tool. It distinguishes from siblings by naming specific sub-tools, but the list is broad and lacks a focused statement of the tool's primary function.

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 explicit guidance on when to use this tool versus alternatives. Sibling tools are named but not differentiated, and the description does not provide context for selecting among the many sub-tools.

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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