List environment feature flags
kinde_list_environment_feature_flagsList the feature flags set at the environment level, with their values. Kinde: GET /api/v1/environment/feature_flags.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
kinde_list_environment_feature_flagsList the feature flags set at the environment level, with their values. Kinde: GET /api/v1/environment/feature_flags.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Input schema / $schemaPrevious value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, so the safety profile is covered by structured data. The description adds that values are returned alongside flags and maps to the underlying endpoint, but says nothing about pagination, ordering, or result size.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
One tight sentence that front-loads the action and scope, followed by the endpoint mapping. The endpoint string is marginally redundant but useful for traceability; nothing else is wasted.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple read-only list tool this is close to sufficient, but with no output schema the description should say more about what the returned flags look like. 'with their values' is the only hint about the response shape.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so the baseline is 4. There is no parameter information the description needs to supply, and it correctly avoids inventing any.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb (List) and resource (feature flags) with an explicit scope qualifier, 'set at the environment level,' which separates it from the sibling kinde_list_organization_feature_flags. It stops short of naming that sibling, so the differentiation is inferred from scope rather than stated.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The 'environment level' scope implies when this tool applies versus the organization-level variant, but there is no explicit when/when-not statement or named alternative. Usage is left to be inferred from the scope phrase.
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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