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timps_log_interpreter

Read crash or system logs, extract stack traces, and translate each failure into plain English with a cause classification: app bug, OS bug, hardware, or user error.

Instructions

Read crash logs and system logs, extract stack traces, and explain each crash in plain English. Classifies as app bug / OS bug / hardware / user error. Pass a log file path to analyse a specific log.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
log_pathNoOptional: absolute path to a specific log file to analyse.
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses the core behavior: reads logs, extracts stack traces, explains crashes, and classifies causes. However, it does not clarify behavior when log_path is omitted, whether it accesses live system logs autonomously, or any permissions/failure modes. This is moderate transparency for a read/analysis 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 two sentences, front-loaded with the primary capabilities, and ends with a clear invocation instruction. There is no filler or redundant repetition of the tool name; every sentence earns its place.

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?

This is a simple tool with one optional parameter and no output schema. The description covers purpose, classification logic, and how to invoke it. The only meaningful gap is the ambiguity around behavior when log_path is absent—since the parameter is optional, the agent may not know whether calling without arguments is useful or what logs are read by default. Overall, it is sufficiently complete for the tool's complexity.

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 description coverage is 100% for the single parameter, so the schema already documents log_path. The description only restates 'Pass a log file path' without adding syntax, accepted formats, file globbing, or default behavior. Baseline 3 is appropriate since the schema handles the parameter semantics.

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?

The description uses specific verbs tied to a clear resource: 'Read crash logs and system logs', 'extract stack traces', 'explain each crash in plain English', and 'Classifies as app bug / OS bug / hardware / user error'. It distinguishes this tool from log-related siblings like timps_log_detective and timps_log_pattern_analyzer by emphasizing crash explanation and root-cause classification.

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 only usage guidance is 'Pass a log file path to analyse a specific log', which implies when a specific log needs analysis. There is no explicit comparison to alternatives, no when-not-to-use guidance, and no mention of what happens if no path is provided. This is implied usage rather than clear scheduling rules.

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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