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vector_vision_reset

Disables all active vision modes to reset the robot's visual state, restoring default perception for reliable interaction.

Instructions

Disable all active vision modes via vision.disable_all_vision_modes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.1

TDQS

B3.2/5.0
Behavior2/5

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

There are no annotations, so the description carries the full burden of behavioral disclosure. It states the primary effect ('Disable all active vision modes') but does not disclose whether the action is reversible, what happens when no modes are active, or any other side effects. This is minimal for a mutating tool.

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 one concise, front-loaded sentence that states the action and the underlying method. It contains no filler or redundant content.

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

Completeness3/5

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

For a zero-parameter tool, the description is minimally viable, but it lacks context around when to use it, what counts as an 'active vision mode,' and what the outcome means for subsequent robot operations. Given no annotations or output schema, the description is somewhat thin.

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 tool has zero parameters, and the schema confirms this. Baseline for zero parameters is 4, and the description correctly focuses on behavior rather than parameter details.

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

Purpose4/5

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

The description uses a specific verb and resource: 'Disable all active vision modes.' It clearly distinguishes this from vision-related siblings like vector_capture_image or vector_face_detection, though it does not explicitly name alternatives. The internal reference 'vision.disable_all_vision_modes' reinforces intent.

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, and it does not mention any prerequisites or side effects. An agent is left to infer that this is for disabling active vision modes.

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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