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generate_code_to_file

Generate code and insert it into files at specific line numbers to modify existing codebases directly.

Instructions

Generate code and write it directly to a file at a specific line number

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
descriptionYesDescription of the code to generate
languageNoProgramming language (e.g., JavaScript, Python, TypeScript)
additionalContextNoAdditional context or requirements for the code
filePathYesPath to the file where the code should be written
lineNumberYesLine number where the code should be inserted (0-based)
replaceLinesNoNumber of lines to replace (0 for insertion only)
Behavior2/5

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

With no annotations provided, the description carries full burden but offers minimal behavioral disclosure. It mentions writing to files and line-based insertion/replacement, but doesn't address critical behaviors like: whether existing file content is preserved/modified, error handling for invalid paths/line numbers, authentication requirements, or rate limits. For a file-writing tool with zero annotation coverage, this leaves significant gaps.

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 functionality. Every word earns its place: 'Generate code' (action), 'write it directly to a file' (destination), 'at a specific line number' (precision). No redundant or vague phrasing.

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?

For a complex file-writing tool with 6 parameters, no annotations, and no output schema, the description is inadequate. It doesn't explain what happens on success/failure, how insertion vs replacement works, file encoding considerations, or interaction with existing content. The agent lacks sufficient context to use this tool safely and effectively.

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 parameters are well-documented in the schema. The description adds minimal value beyond schema: it mentions 'specific line number' (implied by lineNumber parameter) and 'write it directly to a file' (implied by filePath). No additional syntax, format, or usage details are provided beyond what the schema already describes.

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?

The description clearly states the specific action ('Generate code and write it directly to a file') with precise resource targeting ('at a specific line number'). It distinguishes from sibling tools like 'generate_code' (which likely doesn't write to files) and 'generate_documentation' (different output type). The verb+resource combination is unambiguous.

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. It doesn't mention when to choose this over 'generate_code' (which might return code without writing to file) or 'ask_question' (for clarification). There are no prerequisites, exclusions, or comparative context provided.

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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