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agentbay_brain_setup

Set up a knowledge brain for an AI agent in one API call, returning project and agent IDs along with connection configurations.

Instructions

Create a Knowledge Brain for your agent in one call. Returns project ID, agent ID, and all configs needed to connect.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesAgent name (e.g., "Moonsa", "my-agent")
modelNoPrimary model the agent uses
frameworkNoAgent framework (openclaw, langchain, crewai, custom)
descriptionNoBrain description
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions creation and return values but omits side effects, permissions, or mutability. For a tool that creates resources, more behavioral detail is needed.

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 a single clear sentence with no wasted words. It efficiently conveys the action and key outputs.

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?

Given 4 parameters and no output schema or annotations, the description leaves much unsaid. It does not explain how parameters affect behavior or what preconditions exist for the setup operation. The return values are mentioned but not structured.

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 description coverage is 100%, so baseline is 3. The description adds no parameter-specific meaning beyond what the schema already provides, but it does not repeat or contradict.

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 action ('Create') and the resource ('Knowledge Brain'), and notes it is a one-call setup. It also distinguishes from siblings like agentbay_brain_import by emphasizing direct creation and return of IDs.

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 guidance on when to use this tool versus alternatives, such as when to import a brain or register an agent separately. The description lacks context on prerequisites or exclusions.

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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