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Featureflow MCP Server

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by featureflow

update_feature_control

Modify feature flag settings for a specific environment, including enabling/disabling features, changing default variants, and adjusting targeting rules.

Instructions

Update feature control settings for a specific environment. Can enable/disable the feature, change the off variant, and modify rules.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idOrUnifiedKeyYesFeature ID or unified key
environmentKeyYesEnvironment key
enabledNoWhether the feature is enabled in this environment
offVariantKeyNoThe variant to serve when the feature is disabled
Behavior2/5

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

With no annotations provided, the description carries full burden but only states what can be changed, not behavioral aspects like permission requirements, whether changes are reversible, impact on existing configurations, or error handling. 'Update' implies mutation but lacks safety or operational context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two concise sentences efficiently cover purpose and scope without redundancy. However, it could be more front-loaded by explicitly stating it's for mutating environment-specific feature controls upfront.

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?

For a mutation tool with no annotations and no output schema, the description is insufficient. It doesn't address critical context like what 'rules' entail, response format, error conditions, or how changes propagate, leaving significant gaps for agent understanding.

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 parameters are well-documented in the schema. The description adds minimal value by listing updatable fields (enable/disable, off variant, rules), which aligns with schema parameters but doesn't provide additional syntax, format, or constraint details beyond what's already structured.

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 ('Update') and resource ('feature control settings for a specific environment'), specifying the scope of changes (enable/disable, off variant, rules). It distinguishes from siblings like 'update_feature' by focusing on environment-specific controls rather than general feature properties.

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?

No explicit guidance on when to use this tool versus alternatives like 'update_feature' or 'get_feature_control'. The description implies it's for modifying environment-specific settings but doesn't clarify prerequisites, dependencies, or exclusion criteria.

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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