Skip to main content
Glama

env_validate

Validate your .env file against .env.example to identify missing required variables and mismatches.

Instructions

Check that .env contains all required variables from .env.example and flag any mismatches

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNo
env_pathNoPath to .env file.env
example_pathNoPath to .env.example.env.example
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses the core behavior ('check' and 'flag mismatches'), implying a read-only validation operation. However, it does not explain return format, side effects, or the role of the api_key parameter, leaving behavioral details under-specified.

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, front-loaded sentence with no wasted words. It communicates the operation and expected outcome efficiently.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple, but there is no output schema and the description leaves ambiguity about what 'flag any mismatches' concretely returns or logs. The unexplained api_key parameter further reduces completeness for an agent deciding whether and how to call this tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 67% with env_path and example_path documented, but api_key has no schema description and the tool description never mentions it. The description adds useful context about 'required variables' and 'mismatches', but fails to explain the api_key parameter, which is essential for an agent to invoke the tool correctly.

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?

States a specific verb and resource: 'Check that .env contains all required variables from .env.example and flag any mismatches'. This clearly defines the tool's scope and differentiates it from siblings like env_scan_secrets and env_generate_template.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies its usage context — comparing environment files for missing required variables — but it does not explicitly state when to prefer this tool over alternatives such as env_scan_secrets or env_generate_template. No exclusions or alternative guidance is given.

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