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Create Feature

create_feature

Create a feature with a required name, optional product and description, then link tasks to it. Returns the new feature's id, key, and status.

Instructions

Create a feature on the product spine and return it (id, key, name, status). The key is generated from the name; status starts 'active'. product_id defaults to the org's primary product when omitted (pass one from whoami for a multi-product org). Only name is required — create a feature here before linking tasks to it with create_task.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesFeature name (the only required field), e.g. 'SAML SSO'.
product_idNoProduct to create it under, from whoami (optional; the org's primary product when omitted).
descriptionNoWhat the feature is / why it matters (optional).
objective_idNoObjective (goal) to align this feature under directly when there's no intermediate initiative, from list_objectives (optional).
initiative_idNoInitiative to align this feature under for line-of-sight, from list_initiatives (optional).
Behavior4/5

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

Annotations are present and the description adds behavioral details beyond them: key generated from name, status starts 'active', product_id defaults to primary product. No contradictions. The description provides useful context without being redundant.

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?

Two sentences that are front-loaded with the main purpose. Every word earns its place. No extraneous information. Highly efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 5 parameters and no output schema, the description covers the key points: required fields, defaults, return values, and usage context with create_task. It does not explain error handling or edge cases, but for a create tool this is reasonable.

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 baseline is 3. The description adds an example and clarifies the key generation and product_id default, but the parameter descriptions in the schema already adequately document each field. Minimal added value beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'create' and resource 'feature', specifies the return values (id, key, name, status), and explains key generation and default status. It distinguishes the tool from siblings like create_task by stating the order of operations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives explicit guidance on when to use this tool ('create a feature here before linking tasks to it with create_task') and explains the default behavior for product_id. It does not explicitly state when not to use, but the context is clear enough for an AI agent.

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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