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Platano78

Smart-AI-Bridge

modify_file

Edit files using natural language instructions. Specify file path and edit description; AI applies changes with options for review, context, backup, and dry run.

Instructions

Local LLM File Modification - Applies edits using natural language instructions. Local LLM understands code and applies changes. Token savings: 1500+ to ~100 tokens.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filePathYesPath to the file to modify
instructionsYesNatural language edit instructions (e.g., "Add rate limiting to the login function")
optionsNo
Behavior2/5

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

With no annotations, the description must disclose behavioral traits but only mentions token savings and the ability to understand code. Important aspects like permission requirements, destructive potential, or file overwriting behavior are omitted.

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?

Three concise sentences, each providing useful information: purpose, capability, and benefit. No unnecessary words, and key info is front-loaded.

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?

Despite moderate parameter count and nested objects, the description lacks details on return values, error handling, or the modification process. A user cannot fully anticipate tool behavior from this description.

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 67%, and the description adds no parameter-level detail beyond the schema. The mention of 'natural language instructions' aligns with the 'instructions' param, but does not enhance understanding of the 'options' object or its fields.

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 tool modifies files using natural language instructions, which is specific and actionable. However, it does not explicitly differentiate from sibling tools like 'batch_modify' or 'refactor', leaving some ambiguity.

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 provided on when to use this tool versus alternatives (e.g., 'batch_modify' for multiple files, 'write_files_atomic' for full writes). The description lacks context for appropriate usage scenarios.

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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