Current brain
brain_currentReturns the brain that is currently active.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
brain_currentReturns the brain that is currently active.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered by structured data. The description adds only the gloss that 'current' means the active brain; it says nothing about permissions, failure modes, or what happens when no brain is active.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single seven-word sentence with zero filler, and the essential qualifier ('currently active') is front-loaded. Nothing in it is redundant.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a trivial zero-parameter getter with no output schema, the definition is minimally viable: it tells the agent what is fetched but not what the returned brain object looks like (identifier, name, fields) or what is returned when no brain is active. Slightly more return-value context would have made it complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, which sets the baseline at 4 per the rubric. There is no parameter syntax or semantics for the description to compensate for.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb ('Returns') and resource ('the brain that is currently active'), clarifying that 'current' means the active/selected brain rather than any brain. It is clear in isolation but never differentiates itself from siblings like brain_list or brain_select, so an agent must infer the distinction from names alone.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description offers no when-to-use guidance, no prerequisites, and no mention of alternatives such as brain_list (enumerate brains) or brain_select (change the active brain). Usage has to be inferred entirely from the tool name.
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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