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get_inhibitory_stats

Access inhibitory learning statistics for neuroscience-inspired analysis: pattern counts, strength distribution, and effectiveness.

Instructions

Get brain-inspired inhibitory learning statistics including pattern counts, strength distribution, and learning effectiveness

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 for behavioral disclosure. It only states what the tool does (read stats) but does not mention any side effects, authentication needs, rate limits, or data source. The description is minimal and lacks transparency beyond the basic action.

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 sentence that is front-loaded with the action and resource. Every word contributes meaning; no fluff or redundancy. It is appropriately concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given zero parameters and no output schema, the description provides adequate context about what the tool returns. However, it could be improved by briefly describing the return format or any limitations, but for a simple stat retrieval, it is reasonably complete.

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 input schema has zero parameters, so schema coverage is 100% but empty. The description adds value by specifying the types of statistics returned (pattern counts, strength distribution, learning effectiveness), which goes beyond the empty schema. With no parameters, the baseline is 4.

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 retrieves 'brain-inspired inhibitory learning statistics' and lists specific types (pattern counts, strength distribution, learning effectiveness). The verb 'Get' and resource 'inhibitory learning statistics' are specific and distinguishable from sibling tools like get_hebbian_stats or get_attention_stats.

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 guidance on when to use this tool versus alternatives. Given many sibling 'get_*_stats' tools, the agent would benefit from context on when inhibitory stats are appropriate versus hebbian or attention stats, but none is 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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