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Create Intent

create_intent

Create a structured intent spec by providing a title, objective, and product ID. Use with list_intents to avoid duplicates.

Instructions

Create a new intent spec in the workspace. Requires at minimum a title, objective, and productId. Returns the created intent with its ID. Use list_intents first to see existing intents and avoid duplicates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYesShort name for the intent (e.g., "Improve onboarding flow")
objectiveYesWhy this matters — the problem and who has it
productIdYesProduct (Space) ID this intent belongs to. Use get_workspace to find product IDs.
outcomesNoObservable, testable state changes
constraintsNoHard limits the implementation must respect
healthMetricsNoWhat to monitor after shipping
edgeCasesNoFailure modes and boundary conditions
verificationNoHow to confirm it works
problemSeverityNoHow severe the problem is
Behavior4/5

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

Annotations indicate non-read-only and non-destructive behavior; the description confirms creation and adds that it returns the created intent with its ID. No contradictions, and the return value detail adds useful behavior context.

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 two sentences: the first states the core action and requirements, the second adds return value and usage tip. Efficient, front-loaded, and no unnecessary words.

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?

For a tool with 9 parameters, no output schema, the description covers the core aspects (purpose, required fields, return value, and a workflow hint). Optional fields are well-documented in the schema, making the description sufficiently complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description adds value by explaining that productId comes from get_workspace and reiterating the three required fields, aiding parameter understanding 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 it creates a new intent spec, specifies required fields, and returns the created intent with its ID. It also mentions a sibling tool (list_intents) for deduplication, distinguishing it from other tools.

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

Usage Guidelines5/5

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

The description explicitly advises to use list_intents first to avoid duplicates and references get_workspace to find productId, providing clear context on when and how to use this tool.

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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