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generate_documentation

Generate documentation from source code using Doxygen to create structured API references and technical documentation for software projects.

Instructions

Generate documentation from source code using Doxygen

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_pathYes
output_formatNohtml
clean_outputNo
verboseNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions using Doxygen but doesn't specify whether this is a read-only or destructive operation, what permissions are needed, or how errors are handled. For a tool that likely involves file I/O and external processes, this lack of detail is a significant gap.

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 directly states the tool's purpose without any fluff. It's appropriately sized and front-loaded, making it easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of a documentation generation tool with 4 parameters, 0% schema coverage, and no annotations, the description is inadequate. It doesn't cover parameter meanings, behavioral traits, or usage context. While an output schema exists, the description should still address input semantics and operational details to be complete.

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%, meaning parameters like 'project_path' and 'output_format' have no documentation in the schema. The description adds no meaning beyond the schema, failing to explain what 'project_path' should contain, what 'output_format' options exist, or the effects of 'clean_output' and 'verbose'. This leaves parameters largely unexplained.

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 ('Generate documentation') and the resource ('from source code using Doxygen'), which is specific and actionable. However, it doesn't explicitly distinguish this tool from its siblings like 'create_doxyfile' or 'validate_documentation', which likely handle different aspects of documentation generation.

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. With siblings such as 'check_doxygen_install' and 'create_doxygen_project', it's unclear if this tool requires prerequisites or if it should be used in sequence with others, leaving the agent without context for selection.

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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