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read_logs

Read-only

Read logs from console, Android, iOS, or system sources to debug Tauri apps. Filter by lines, regex, timestamp, or window for targeted troubleshooting.

Instructions

[Tauri Apps Only] Read logs from various sources: "console" for webview JS logs, "android" for logcat, "ios" for simulator logs, "system" for desktop logs. Requires active driver_session for console logs. Use for debugging Tauri app issues at any level.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sourceYesLog source: "console" for webview JS logs, "android" for logcat, "ios" for simulator, "system" for desktop
linesNo
filterNoRegex or keyword to filter logs
sinceNoISO timestamp to filter logs since (e.g. 2023-10-27T10:00:00Z)
windowIdNoWindow label for console logs (defaults to "main")
appIdentifierNoApp port or bundle ID for console logs. Defaults to the only connected app or the default app if multiple are connected.
Behavior4/5

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

Annotations already declare readOnlyHint=true. The description adds valuable behavioral context, especially the prerequisite of driver_session for console logs, which is beyond the schema.

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?

Four sentences, front-loaded with purpose and key details. Each sentence adds value; no extraneous 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?

Covers purpose, sources, and a critical prerequisite. No output schema, so return format is not described, but for a simple read tool this is acceptable. Annotations fill the safety gap.

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 coverage is high (83%) and the description adds minimal parameter-level detail beyond what the schema provides (e.g., source enum). The prerequisite for console logs is helpful but not parameter-specific.

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?

Clearly states it reads logs from specific sources, with explicit enumeration of sources. Distinguishes itself from sibling tools (e.g., webview_execute_js, ipc_*), as no other tool focuses on log retrieval.

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?

Provides context: use for debugging Tauri apps, requires active driver_session for console logs. Does not explicitly state when not to use or alternatives, but the scope is clear.

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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