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featureflow

Featureflow MCP Server

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by featureflow

clone_feature

Create a copy of an existing feature flag with a new identifier and name to replicate configurations for testing or deployment.

Instructions

Clone an existing feature with a new key and name.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idOrUnifiedKeyYesFeature ID or unified key of the source feature to clone
newKeyYesKey for the cloned feature
nameYesName for the cloned feature
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 tool clones a feature but doesn't explain what cloning entails (e.g., whether it copies all settings, permissions, or dependencies), potential side effects, or any constraints like rate limits or authentication needs. This is a significant gap for a mutation tool.

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 directly states the tool's purpose without unnecessary words. It is front-loaded and wastes no space, making it easy for an agent to parse quickly.

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 tool's complexity (a mutation operation with no annotations and no output schema), the description is insufficient. It doesn't cover behavioral aspects, return values, or usage context, leaving critical gaps for an agent to understand how to invoke it correctly.

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 input schema has 100% description coverage, clearly documenting all three parameters. The description mentions 'new key and name' but doesn't add meaningful semantics beyond what the schema provides, such as format examples or constraints. Baseline 3 is appropriate when the 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 ('Clone') and resource ('an existing feature'), specifying what the tool does. It mentions the key parameters (new key and name) but doesn't explicitly differentiate from sibling tools like 'create_feature' or 'update_feature', which is why it doesn't reach a 5.

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 such as 'create_feature' or 'update_feature'. It lacks context about prerequisites, use cases, or exclusions, leaving the agent to infer usage from the name alone.

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

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