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OFODevelopment

CerebroChain MCP Server

natural_language_command

Convert natural language commands into supply chain actions: check shipment delays, reserve inventory, and more via CerebroChain AI Command Center.

Instructions

Process a natural language command through CerebroChain AI Command Center. Supports queries like "show me all delayed shipments" or "reserve 50 units of SKU-1234". Premium tool. Requires API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
commandYesNatural language command or query
Behavior2/5

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

No annotations are provided. The description notes it is a 'Premium tool' and 'Requires API key', but does not disclose whether the command is read-only, destructive, or has side effects. For a tool that executes arbitrary natural language commands, this is a significant gap in behavioral context.

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 brief with three sentences, including a clear opening statement and two supplementary notes. It avoids unnecessary detail, though the 'Premium tool' line could be integrated more seamlessly.

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 absence of an output schema and the tool's broad capability, the description should clarify what the tool returns (e.g., confirmation, data, error messages). It covers basic usage and requirements, but lacks completeness for an NL command executor.

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

Parameters4/5

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

The schema describes the parameter 'command' as 'Natural language command or query', and the description adds concrete examples ('show me all delayed shipments', 'reserve 50 units of SKU-1234'), enriching the semantic understanding beyond the schema alone.

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 processes natural language commands via CerebroChain AI Command Center, with specific examples like 'show me all delayed shipments'. This distinguishes it from the many sibling tools that handle specific functions, making the purpose unambiguous.

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?

The description provides no explicit guidance on when to use this tool versus siblings. While it implies broad applicability, it does not advise against using it for tasks better handled by specific tools, nor does it mention prerequisites or exclusion criteria.

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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