Skip to main content
Glama
featureflow

Featureflow MCP Server

Official
by featureflow

create_project

Create a new project in your organization to organize and manage feature flags, environments, and targeting rules for controlled feature releases.

Instructions

Create a new project in the organization.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyYesUnique project key (lowercase, no spaces, use hyphens)
nameYesDisplay name for the project
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states 'Create a new project' which implies a write/mutation operation, but doesn't disclose behavioral traits like required permissions, whether creation is idempotent, rate limits, or what happens on success/failure. For a mutation tool with zero annotation coverage, this is a significant gap in transparency.

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 with zero waste. It's appropriately sized and front-loaded with the core purpose, making it easy to parse quickly without unnecessary elaboration.

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 this is a mutation tool (creating a project) with no annotations and no output schema, the description is incomplete. It doesn't address what the tool returns, error conditions, or important behavioral context needed for safe invocation. The 100% schema coverage helps with parameters, but overall context is inadequate for a creation operation.

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%, with both parameters ('key' and 'name') well-documented in the schema. The description doesn't add any parameter semantics beyond what the schema already provides (e.g., it doesn't explain relationships between parameters or provide usage examples). Baseline 3 is appropriate when schema does the heavy lifting.

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 action ('Create') and resource ('new project in the organization'), providing a specific verb+resource combination. However, it doesn't distinguish this tool from potential alternatives like 'clone_feature' or 'create_feature' that might also create resources, missing explicit 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 alternatives. With siblings like 'clone_feature', 'create_feature', and 'create_environment' that also create resources, there's no indication of when to choose 'create_project' over these, nor any prerequisites or exclusions mentioned.

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