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gameplay_debugger_capture_ai

Capture an AI/navigation debug snapshot from the current editor world to inspect AI behavior and nav data.

Instructions

Capture an AI/navigation debug snapshot from the current editor world.

KB: see knowledge_base/04_AI_SYSTEMS.md#overview Example: gameplay_debugger_capture_ai()

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It says only that it captures a snapshot from the editor world; it does not state whether the operation is read-only, whether it affects debugger state, what format or location the snapshot takes, or whether it requires a running world/PIE session.

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

Conciseness4/5

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

The first sentence is a clear, front-loaded purpose statement, and the KB pointer plus zero-argument example are compact and informative. The example is slightly redundant but not harmful.

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 with an output schema, the description is minimally callable: it says what to capture and where. However, it leaves out behavior, prerequisites, and selection context, which an agent would need to confidently invoke it among many similar debug tools.

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?

There are zero parameters and the input schema is empty, so the description has no parameter semantics to add. The example call correctly reinforces that no arguments are needed.

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?

Names a concrete action ('Capture') and a resource ('AI/navigation debug snapshot from the current editor world'), giving an agent a clear sense of what the tool does. It is distinct from siblings such as nav_describe_agent_settings or bt_get_info, though it does not explicitly contrast with them.

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?

Provides no guidance on when to prefer this over the many AI/debug siblings, and states no prerequisites or exclusions. The only clue is the action itself, which is implied usage rather than explicit direction.

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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