Skip to main content
Glama
featureflow

Featureflow MCP Server

Official
by featureflow

get_feature

Retrieve detailed information about a specific feature flag by ID or unified key to understand its configuration and status.

Instructions

Get detailed information about a specific feature by ID or unified key (projectKey:featureKey).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idOrUnifiedKeyYesFeature ID or unified key (e.g., 'myproject:my-feature')
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states this is a 'Get' operation, implying read-only behavior, but doesn't confirm safety aspects like whether it requires authentication, has rate limits, or what happens on errors. For a tool with zero annotation coverage, this leaves significant gaps in understanding its operational traits.

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 front-loads the core purpose and includes essential parameter information. There's no wasted language, and it directly addresses what the tool does and how to identify the feature, making it highly concise and well-structured.

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?

Given the tool's low complexity (one parameter, no output schema, no annotations), the description is adequate but not complete. It covers the basic purpose and parameter format but lacks behavioral details (e.g., error handling, authentication needs) and usage context relative to siblings. For a simple read operation, this is minimally viable but could be more informative.

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?

The schema description coverage is 100%, with the parameter 'idOrUnifiedKey' fully documented in the schema. The description adds minimal value by mentioning the parameter format ('ID or unified key') and an example ('myproject:my-feature'), but doesn't provide additional semantic context beyond what's already in the schema. This meets the baseline for high schema coverage.

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's purpose with a specific verb ('Get detailed information') and resource ('about a specific feature'), making it easy to understand what the tool does. However, it doesn't explicitly differentiate from sibling tools like 'get_feature_control' or 'list_features', which would require more specific language about scope or detail level.

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 alternatives like 'list_features' (for multiple features) or 'get_feature_control' (for control-specific data). It mentions the parameter format but doesn't clarify context or prerequisites for usage, leaving the agent to infer based on tool names alone.

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/featureflow/featureflow-mcp'

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