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vorn_feature_spec

Feature Spec Writer (free): Describe a feature idea or user story and get a complete technical spec: user stories, acceptance criteria, edge cases, and implementation notes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesThe message or prompt to send to this app.
api_keyNoDEPRECATED fallback: send your Vorn agent key (vorn_agent_*) as the HTTP header "Authorization: Bearer <key>" instead; the header wins. A key is required to call this tool and the call is billed only to that agent.
idempotency_keyNoOptional. Reuse the same value to retry a call safely: a completed run is returned from its receipt and never billed twice.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose the return content well by listing the spec sections produced. However it omits auth, billing, and rate-limit behavior; the '(free)' claim is unqualified while the schema says calls are billed to an agent key, which an agent cannot reconcile from the description alone.

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?

A single front-loaded sentence naming the tool, its input, and its deliverables, with zero filler or repetition.

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 generation tool with no output schema and no annotations, the description adequately covers the deliverables an agent needs to judge relevance. What is missing is input-format expectation and any note on cost/auth, which the schema partially covers via api_key.

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 all three parameters (input, api_key, idempotency_key) are already documented, including the deprecated-key guidance and idempotency semantics. The description adds no parameter-level detail beyond that, so the baseline 3 applies.

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?

States a specific verb and resource: takes a feature idea/user story and produces a technical spec, and enumerates the outputs (user stories, acceptance criteria, edge cases, implementation notes). The resource is distinct enough from siblings like vorn_blog_post_writer and vorn_code_review, though it never explicitly names a sibling to route against.

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?

It implies the usage context (you have a feature idea or user story and want a spec) and tells the agent what to supply, but it offers no when-not guidance, prerequisites, or named alternatives among the many sibling writer tools.

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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