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Featureflow MCP Server

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by featureflow

archive_feature

Archive or unarchive feature flags in Featureflow to manage feature lifecycle and control feature availability across environments.

Instructions

Archive or unarchive a feature flag.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idOrUnifiedKeyYesFeature ID or unified key
archivedYesSet to true to archive, false to unarchive
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. While 'archive or unarchive' implies a state change rather than deletion, it doesn't specify whether this requires special permissions, if archiving is reversible, what happens to associated data, or if there are rate limits. This is inadequate for a mutation tool with zero annotation coverage.

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 function without unnecessary words. It's appropriately sized and front-loaded, with every word contributing to understanding the core purpose.

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 lacks information about behavioral consequences, error conditions, return values, or how archiving interacts with other operations. Given the complexity of state management and sibling tools, more context is needed for safe and effective use.

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%, so the input schema already documents both parameters thoroughly. The description adds no additional parameter semantics beyond what's in the schema, such as format examples or edge cases, resulting in the baseline score 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 action ('archive or unarchive') and the resource ('a feature flag'), making the purpose immediately understandable. However, it doesn't differentiate this tool from sibling tools like 'delete_feature' or 'update_feature', which might also modify feature flag states.

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. It doesn't mention prerequisites, distinguish from deletion operations, or explain the implications of archiving versus other state changes, leaving the agent to infer usage context from tool names 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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