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render_report

Assemble a Markdown executive report from process mining findings and embedded artifact links.

Instructions

Assemble a Markdown executive report from prose findings + artifact links.

Parameters

title Report heading. Rendered as an H1. findings Markdown-formatted narrative. Pass the prose the LLM wrote after calling abstract_* / get_* tools — bullet points, tables, paragraphs all work. Leading/trailing whitespace is stripped. artifact_paths Optional list of absolute paths to PNG/SVG/CSV files produced earlier in the session (e.g. by visualize_petri_net or export_log). Images are embedded inline; other files are listed as links. output_path Optional. Bare filename lands in the workspace; a path with separators is honored as-is. When omitted, writes to a unique file like report-abc123.md in the workspace.

Returns

dict {"path": str, "size_bytes": int, "num_artifacts": int}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYes
findingsYes
output_pathNo
artifact_pathsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Describes image embedding, linking, whitespace stripping, output path behavior, and return dict. Annotations absent, so description carries full burden and does it well.

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?

Well-structured with headings and lists, informative yet not verbose. Could be slightly more concise, but clarity is high.

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?

Covers all parameter behavior, optionality, output schema, and usage expectations. No gaps given the tool's complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has 0% description coverage; description provides detailed explanations for all 4 parameters, including roles, formats, and defaults.

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?

States clearly it assembles a Markdown executive report from prose findings and artifact links. Distinguishes from siblings which are about abstraction, discovery, filtering, etc.

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?

Advises to pass findings after calling abstract_*/get_* tools, giving clear context. Does not explicitly list when not to use, but siblings provide alternative contexts.

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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