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NAJEMWEHBE

unreal-ai-connection

get_log_lines

Retrieve recent Unreal Engine Output Log entries. Filter by category substring and minimum verbosity, returning up to 1000 lines at or above the specified severity.

Instructions

Read recent UE Output Log entries from the in-process ring buffer. Supports category substring filter and minimum verbosity filter. Returns up to count lines (default 100, max 1000) at or above the requested severity.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoMax lines to return (default 100, max 1000).
category_filterNoCase-insensitive substring filter on log category (e.g. 'LogTemp').
min_verbosityNoReturn lines at or above this severity. Default 'Log'.
Behavior3/5

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

No annotations provided, so description carries burden. Discloses read nature implicitly but does not explicitly state no side effects or if data is cleared. Could be improved by stating it is read-only.

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?

Two sentences, front-loaded with core purpose, no extraneous information. Every sentence contributes meaning.

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

Completeness5/5

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

For a simple read tool with 3 parameters and no output schema, description covers operation, filters, limits, and defaults fully. No gaps.

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?

Schema coverage is 100% with parameter descriptions, so baseline is 3. Description adds value by explicitly stating defaults (100), max (1000), and the 'at or above' severity logic, enhancing understanding beyond schema.

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?

Description clearly states verb 'Read' and resource 'UE Output Log entries from the in-process ring buffer', making the purpose explicit and unique among siblings.

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?

Describes supported filters (category, verbosity) and default/max count, giving clear context for when to use. No explicit alternatives or exclusions needed as no other log tools exist.

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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