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coreline-ai

Antigravity GLM MCP

by coreline-ai

glm_file_create

Create files with custom path, content, and encoding. Optionally overwrite existing data. Integrates with sandboxed environment and automatic backups.

Instructions

새 파일을 생성합니다.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes생성할 파일 경로
contentYes파일 내용
overwriteNo기존 파일 덮어쓰기 허용 여부
encodingNo파일 인코딩utf-8
Behavior2/5

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

With no annotations provided, the description bears full responsibility for behavioral disclosure. It only states that a file is created, leaving out key behaviors such as what happens if the file exists (overwrite defaults to false, but this is not mentioned) or encoding details.

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?

The description is a single, efficient sentence. It is concise but could be slightly expanded to include more context without becoming verbose.

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 tool has 4 parameters and no output schema, the description lacks completeness. It does not explain what the tool returns, error conditions, or behavior for edge cases like existing files.

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?

All 4 parameters are described in the input schema (100% coverage), so the baseline is 3. The description adds no extra meaning beyond 'create a new file,' which does not enhance the schema's parameter documentation.

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 'Create a new file,' which is a specific verb and resource. This distinguishes it from sibling tools like glm_file_delete, glm_file_edit, and glm_file_read, which have different actions.

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, nor are there any prerequisites or conditions for usage. The agent must infer the use case from the name and parameters.

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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