Skip to main content
Glama
featureflow

Featureflow MCP Server

Official
by featureflow

get_target

Retrieve a specific target configuration by its key to manage feature flag targeting rules within Featureflow projects.

Instructions

Get a specific target by its key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectKeyYesProject key
targetKeyYesTarget key to look up
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. It states this is a read operation ('Get'), implying it's non-destructive, but doesn't disclose any behavioral traits such as error handling, authentication needs, rate limits, or what happens if the target doesn't exist. This is a significant gap for a tool with no 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 with zero waste. It's front-loaded with the core action and resource, making it easy to parse quickly without unnecessary details.

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 no annotations and no output schema, the description is incomplete for a tool that likely returns target data. It doesn't explain what 'target' means in this context, what data is returned, or any dependencies on other tools. For a read operation with two required parameters, more context is needed to guide 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?

Schema description coverage is 100%, so the schema already documents both parameters ('projectKey' and 'targetKey') adequately. The description adds minimal value by implying these keys are used for lookup, but doesn't provide additional semantics beyond what the schema specifies, meeting the baseline for high 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 verb ('Get') and resource ('a specific target'), making the purpose understandable. However, it doesn't differentiate from sibling tools like 'get_feature' or 'get_project' beyond specifying the target resource type, which is a minor gap.

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_targets' or other 'get_' tools. It mentions 'by its key' but doesn't explain prerequisites or contextual usage scenarios, leaving the agent to infer from the tool name 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