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Builder: redo the outline

regenerate_outline

Article Builder, step 2 again with feedback (what to change: sections to add, drop, reorder, tone). Pass the original prompt too so the brief is kept. One LLM call. Returns a fresh outline for write_from_outline.

Input Schema

NameRequiredDescriptionDefault
siteYesThe site to act on. One of: fencestainingdenver.com.
urlsNoSource articles to draw on (required for remix, max 1 there)
titleYes
promptYesThe original article brief
feedbackYesWhat to change about the outline
locationIdNoBusiness location id to focus on (multi-location sites)
articleTypeNosmart-composer (default) writes fresh; remix rewrites the article at `urls`
useExternalLinksNoCite outside sources (default true)
useInternalLinksNoLink to the site's own pages (default true)
useYouTubeVideosNoEmbed relevant YouTube videos (default false)
youtubeChannelUrlNoPrefer videos from this channel (youtube.com/@handle or youtube.com/channel/UC...)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare non-read-only, non-idempotent, non-destructive. The description adds real context beyond them: cost/latency ('One LLM call') and the fact that it produces a fresh outline. But it does not state whether an existing draft/outline must already exist, whether the previous outline is overwritten, or any permission requirements.

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?

Three tight sentences, front-loaded with the pipeline role, followed by the required inputs and the return value. The parenthetical on `feedback` earns its space; only 'step 2 again' is slightly cryptic on first read.

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?

With 11 parameters but 91% schema coverage and no output schema, the description supplies what the structured data cannot: the regeneration intent, the two key required inputs, the single-LLM-call cost, and the handoff to write_from_outline. It omits the role of `site`/`title` and the optional link/media flags, but those are covered by the schema.

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 91%, so the baseline is 3, and the description goes further by expanding what `feedback` should contain (sections to add, drop, reorder, tone), which the schema only labels as 'What to change about the outline'. It also clarifies why `prompt` is required (to keep the brief).

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+resource ('redo the outline', step 2 again) and places it in the Builder pipeline relative to the sibling that consumes its output (write_from_outline). It implies the contrast with the initial generate_outline via 'again', though it never names that sibling explicitly.

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?

Gives clear context for use: when you have `feedback` describing what to change, and instructs passing the original `prompt` to preserve the brief. It names the downstream consumer write_from_outline. It does not explicitly say when to prefer generate_outline (the first pass) over 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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