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Mipiti
by Mipiti

generate_functional_objectives

Derive capabilities, functional objectives, and implementable tests from a feature spec, producing Given-When-Then objectives for each operating condition.

Instructions

Derive capabilities, functional objectives, and the concrete tests to implement from the feature spec.

Capabilities are the behaviours the feature must deliver; each is walked against a taxonomy of operating conditions (nominal, boundary, invalid input, dependency failure, concurrency, …) to produce testable Given-When-Then objectives — and then a concrete, implementable test is specified for each objective (so the agent implements the tests rather than deciding what to test). Requires a Pro plan. Billable — may take some time. refresh=true re-derives from scratch, replacing prior generated (not manually authored) capabilities, objectives, and tests.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refreshNoRe-generate from scratch instead of serving cached output.
model_idYesID of the threat model.
server_versionYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Discloses billing, duration, and that refresh replaces prior generated content (not manual). No annotations provided, so description carries the full burden; it addresses key behavioral aspects well.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two paragraphs, clear first sentence, no fluff. Could be slightly more front-loaded, but overall efficient for the complexity.

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?

Covers process (walking conditions, producing Given-When-Then, specifying tests), prerequisites (Pro plan), and side effects (replacement on refresh). Has output schema, so return values are handled. Adequate for a complex generation tool.

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 coverage is 67%, with descriptions for model_id and refresh. Description adds context for refresh (re-derives, replaces) but does not describe server_version. Adds marginal value over 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?

Clearly states the action: derive capabilities, functional objectives, and tests from a feature spec. Distinguishes from sibling listing tools like list_capabilities and list_functional_objectives by focusing on generation.

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

Usage Guidelines3/5

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

Implies use when generating from a feature spec, mentions Pro plan requirement, billing, and time. Does not explicitly contrast with other generation tools or provide when-not-to-use conditions.

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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