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generate_pyproject_toml

Generate a pyproject.toml file with build system, dependencies, and project metadata. Specify project name, Python version, and build backend to get a ready-to-use configuration.

Instructions

Generate a pyproject.toml file with build system, dependencies, and project metadata

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNoAPI key for authentication
build_systemNoBuild backend to use
project_nameYesName of the Python project
python_versionNoMinimum Python version (e.g. 3.11)
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 does not state whether the tool writes the file to disk or returns content, whether it overwrites an existing pyproject.toml, or whether it makes network calls (which the api_key parameter implies). The api_key's behavioral role is left entirely unexplained.

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?

A single sentence with the verb and resource front-loaded and no filler. Every word adds information, and the length is appropriate for the simplicity of the tool.

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?

Incomplete for a tool with no annotations and no output schema. The api_key parameter is unexplained, the write-versus-return behavior is ambiguous, and no contrast is drawn with closely related siblings like generate_cargo_toml or Python project scaffolding tools.

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 description coverage is 100%, so the schema already documents all four parameters, giving a baseline of 3. The description's 'build system, dependencies, and project metadata' maps roughly to build_system, python_version, and project_name, but it mentions 'dependencies,' which has no corresponding parameter, and omits api_key entirely.

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?

States a specific verb ('Generate'), an exact resource ('pyproject.toml file'), and the content areas covered (build system, dependencies, project metadata). It is clearly distinguishable from the closest sibling generate_cargo_toml by the target file format, though it never explicitly names or contrasts with any sibling.

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 is given on when to use this tool versus the many sibling generator/scaffold tools (e.g., generate_cargo_toml, scaffold_fastapi_project, generate_django_settings). No prerequisites, context, or exclusions are mentioned.

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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