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SamDreamsMaker

Unity API Communicator MCP Server

console_logs

Retrieve captured Unity console logs for debugging by filtering Log, Warning, Error, or Exception types after starting console listening.

Instructions

Get captured console logs. Requires console listening to be started first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoFilter by type: Log, Warning, Error, Exception (omit for all)
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions a prerequisite ('Requires console listening to be started first'), which adds useful context, but fails to describe other key behaviors such as what 'captured console logs' entails, potential rate limits, authentication needs, or the format of the returned data. For a tool with no annotation coverage, this leaves significant gaps in understanding its operation.

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 two sentences, front-loaded with the core purpose ('Get captured console logs') followed by a prerequisite. Every sentence earns its place by providing essential information without waste, making it appropriately sized and efficient.

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?

Given the tool's moderate complexity (involving console operations with a prerequisite), no annotations, no output schema, and a simple input schema with full coverage, the description is partially complete. It covers the purpose and a key prerequisite but lacks details on behavioral traits, return values, and differentiation from siblings. This results in an adequate but incomplete understanding for an AI agent.

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?

The input schema has 100% description coverage, with the parameter 'type' documented as 'Filter by type: Log, Warning, Error, Exception (omit for all)'. The description doesn't add any further meaning beyond this, as it doesn't mention parameters at all. Given the high schema coverage, the baseline score of 3 is appropriate, as the schema adequately handles parameter semantics without needing extra description.

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 clearly states the verb 'Get' and resource 'captured console logs', making the purpose specific and understandable. However, it doesn't explicitly differentiate from sibling tools like console_clear, console_compilation, console_errors, console_log, console_start, and console_stop, which all relate to console operations but serve different functions.

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

Usage Guidelines3/5

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

The description provides implied usage guidance by stating 'Requires console listening to be started first', indicating a prerequisite. However, it doesn't explicitly say when to use this tool versus alternatives like console_clear or console_errors, nor does it specify exclusions or direct comparisons to sibling tools.

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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