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visualize_dotted_chart

Render dotted charts from event logs to analyze temporal patterns. Customize by selecting activity, resource, or other attributes for the time-value scatter plot.

Instructions

Render a dotted chart (Graphviz/neato, PNG-only output via our helper).

Dotted charts project events onto a time-vs-value scatter using the provided attributes. Default ["concept:name", "time:timestamp"] plots activity versus event time — the most useful view on an unfamiliar log. Pass other attribute names (e.g. ["org:resource", "time:timestamp"]) to see resource timelines or any numeric/categorical column.

Requires the dot / neato binaries from Graphviz (same dependency as the Phase 1 visualization tools).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
log_idYes
attributesNo
Behavior3/5

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

Describes that it uses Graphviz/neato, outputs PNG, and requires binaries, but does not disclose side effects, performance implications, or error handling for missing dependencies.

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?

Concise 4-sentence paragraph, front-loaded with purpose, no redundant information, and well-structured for quick understanding.

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?

Covers main purpose, parameters, and dependencies, but lacks explicit mention of return value format (e.g., how the PNG is returned) and does not address error cases or prerequisites beyond Graphviz.

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?

Explains the `attributes` parameter with default and examples, adding meaning beyond the schema, but does not describe the `log_id` parameter, leaving it with only schema title.

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 renders a dotted chart, explains it's a time-vs-value scatter plot using attributes, and distinguishes from sibling tools like visualize_dfg or visualize_process_tree by its specific chart type and default behavior.

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?

Suggests default attributes as 'most useful view on an unfamiliar log', implying a use case for exploration, but does not explicitly compare to alternatives or state when not to use this tool.

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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