Skip to main content
Glama

make_generate

Turns a project type and name into a Makefile with standard build, test, lint, and clean targets. Supports Node, Python, Go, Rust, C, C++, and Docker with optional Docker targets.

Instructions

Generate a Makefile with standard targets for build, test, lint, and clean

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesProject name
api_keyNoAPI key for authentication
project_typeYesProject type
include_dockerNoInclude Docker build targets
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 states the output but does not mention whether it overwrites an existing Makefile, where the file is written, whether authentication via api_key is required, or what other side effects might occur.

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 immediately communicates the core action and output. Every word earns its place, and it is appropriately sized for a straightforward generator 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?

Given the absence of annotations and an output schema, the description is too thin to fully support correct invocation. It omits critical context like file overwrite behavior, target project type effects, authentication requirements, and when to choose sibling tools instead. An agent could generate the wrong result or fail to account for side effects.

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. The description adds general intent but does not explain parameter interplay such as how project_type changes targets or why api_key is needed, keeping this at the baseline.

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 generates a Makefile with standard build, test, lint, and clean targets, using a specific verb and resource. It does not explicitly distinguish itself from siblings like make_add_targets or make_optimize, so it misses the top score for sibling differentiation.

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 related alternatives such as make_add_targets or make_optimize. There is no mention of when generation is appropriate, nor any exclusion criteria or recommended workflow.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/barnburner121/claude-plugin-marketplace'

If you have feedback or need assistance with the MCP directory API, please join our Discord server