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mrorigo
by mrorigo

generate_mermaid_graph

Generate a Mermaid diagram of the code's call graph. Highlight selected functions and optimize the graph for LLM processing.

Instructions

Generate a Mermaid diagram for the call graph.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fqnsNoList of fully qualified names to highlight in the graph
llm_optimizedYesWhether to optimize the graph for LLM consumption

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
graphYes
analysis_statusNo
Behavior1/5

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

No annotations provided, so the description must disclose behavioral traits. It only states the action without mentioning idempotency, permissions, side effects, or whether it is read-only.

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?

Extremely concise single sentence with no waste. However, it could incorporate more useful information without becoming verbose.

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?

For a simple tool with output schema, description is adequate but lacks context on when to use compared to siblings and any behavioral notes.

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 100%, so schema already documents parameters. Description adds no extra meaning beyond the schema, hence baseline 3.

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?

Description clearly states it generates a Mermaid diagram for the call graph, specifying both the output format (Mermaid) and the resource (call graph). This distinguishes it from sibling like 'get_call_graph' which likely returns raw data.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives such as 'get_call_graph' or 'impact_analysis'. It does not mention prerequisites or contexts where Mermaid output is preferred.

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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