Skip to main content
Glama

flag_generate_checks

Generate feature flag check utilities as middleware, decorators, helpers, or React hooks. Use flag names to gate features and control rollout across your code.

Instructions

Generate feature flag check utilities and middleware for gating features

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNoAPI key for authentication
check_typeNoType of flag check to generatemiddleware
flag_namesYesFeature flag names to generate checks for (e.g. 'new-checkout', 'dark-mode')
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 behavioral burden. It does not state whether files are written, whether an API key is required, whether the operation is reversible, or what side effects 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 sentence with no filler, repetition of schema fields, or unnecessary detail. It is front-loaded with the action and object.

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?

With no annotations and no output schema, the description should explain what the generated utilities/middleware look like, where they are emitted, and how check_type affects the result. None of that is provided, so an agent is left to infer the tool's full behavior from its name and parameters.

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 explains flag_names, check_type, and api_key. The description adds minimal semantic value beyond the schema, but this meets the baseline for fully documented parameters.

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 states a specific action ('Generate') and resource ('feature flag check utilities and middleware') with the intended purpose ('gating features'). It is clear but does not explicitly differentiate from closely related siblings like flag_setup_system or feature_flag_system.

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?

There is no guidance on when to use this tool versus alternatives, nor any mention of prerequisites or contexts. The check_type enum provides options but not decision criteria for choosing one tool over another.

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