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create_doxygen_project

Initialize a new Doxygen documentation project with configuration to generate code documentation for various programming languages.

Instructions

Initialize a new Doxygen documentation project with configuration

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_nameYes
project_pathYes
languageNomixed
include_subdirsNo
extract_privateNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool initializes a project, implying a write operation, but doesn't clarify what 'initialize' entails—does it create files, modify existing ones, or set up a configuration? It lacks details on permissions, side effects, error handling, or what the output schema might contain, which is critical for a tool with mutation potential.

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 a single, efficient sentence that front-loads the core action ('Initialize a new Doxygen documentation project') and adds key context ('with configuration'). There's no wasted verbiage or redundancy, making it highly concise and well-structured for quick comprehension.

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?

Given 5 parameters with 0% schema coverage, no annotations, but an output schema exists, the description is minimally adequate. It covers the basic purpose but lacks details on parameters, behavioral traits, and usage context. The output schema mitigates the need to explain return values, but overall completeness is limited for a tool that likely performs file system operations.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate by explaining parameters, but it adds no meaning beyond the schema. It mentions 'configuration' generally but doesn't relate to specific parameters like 'language', 'include_subdirs', or 'extract_private'. This leaves the agent reliant solely on schema titles and types, which is insufficient for understanding parameter roles.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Initialize') and resource ('new Doxygen documentation project with configuration'), making the purpose evident. It distinguishes from siblings like 'create_doxyfile' (which might create just the config file) or 'generate_documentation' (which likely generates output from an existing project). However, it doesn't explicitly contrast with these alternatives, keeping it from a perfect score.

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?

The description provides no guidance on when to use this tool versus alternatives like 'create_doxyfile' or 'scan_project'. It mentions 'configuration' but doesn't specify if this is for initial setup versus modifying existing projects. There's no mention of prerequisites (e.g., Doxygen installation) or exclusions, leaving usage context implied at best.

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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