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Nudge Model Pitch Up

nudge_model_pitch_up

Increase 3D model pitch (X-axis rotation) upward by specified degrees. Automatically queries current state before adjustment to maintain accuracy during manual interactions.

Instructions

Adjust the model pitch (X axis rotation) upward relative to current rotation. This tool automatically queries fresh state before performing the adjustment to ensure accuracy, even if the user has manually interacted with the model.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
degreesNoAmount to increase pitch in degrees (defaults to 5°)
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes key behavioral traits: it's a mutation tool (adjusts pitch), performs automatic state querying before adjustment, works relative to current rotation, and handles manual user interactions. However, it doesn't mention potential side effects, error conditions, or rate limits.

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 perfectly concise with two sentences that each earn their place: the first states the core functionality, and the second adds important behavioral context about automatic state querying. No wasted words, well-structured, and front-loaded with essential information.

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 this is a mutation tool with no annotations and no output schema, the description does well by explaining the adjustment behavior, automatic state querying, and handling of manual interactions. However, it doesn't describe what happens on success/failure or return values, leaving some gaps in completeness for a tool that modifies state.

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 the schema already fully documents the 'degrees' parameter. The description adds no additional parameter semantics beyond what's in the schema, maintaining the baseline score of 3 for adequate but not enhanced parameter documentation.

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's purpose with a specific verb ('Adjust') and resource ('model pitch'), explicitly distinguishes it from its sibling 'nudge_model_pitch_down' by specifying 'upward' direction, and provides additional context about the X axis rotation and automatic state querying.

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

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context about when to use this tool ('to ensure accuracy, even if the user has manually interacted with the model'), but doesn't explicitly mention when not to use it or name specific alternatives beyond the implied sibling tool 'nudge_model_pitch_down'.

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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