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wm_surprise

Detects violations of expectation in neuromorphic simulations by applying targeted neural injections and analyzing response discrepancies.

Instructions

Violation-of-Expectation Detection

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesAction that was applied
Behavior1/5

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

No annotations provided and description does not disclose behavioral traits such as state mutation, side effects, or output semantics. Agent cannot infer whether this tool is read-only or destructive.

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

Conciseness2/5

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

Extremely concise (2 words) but under-specified. Every sentence should earn its place; here the single phrase fails to provide essential information about purpose or usage.

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

Completeness1/5

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

Given complexity (nested parameter, no output schema, no annotations), description is woefully incomplete. Agent has no understanding of what the tool returns or how to interpret results.

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% so baseline is 3, but description adds no meaning beyond schema. The relationship between the 'action' parameters (targetNeurons, strengths, duration) and violation-of-expectation detection is unexplained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description is a noun phrase 'Violation-of-Expectation Detection' rather than a clear verb+resource. It does not specify what the tool does with the input action, and it does not distinguish from siblings like wm_predict or tcai_curiosity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

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 wm_predict or tcai_curiosity. Agent has no context for appropriate invocation.

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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