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WebTwizz

GitHub sync

pull-from-github
Destructive

Use this when the user changed their WebTwizz site's code on GitHub and wants those changes in WebTwizz. The site's WebTwizz AI pulls them in and checks the site still runs; the card follows it like an edit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
site_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindYes
nameYes
planNo
errorNo
stageNo
stepsYes
checksNo
job_idYes
latestNo
statusYesqueued, starting, building, done, needs_input, failed or stopped
choicesNoWhen the summary ends by offering numbered options: those options, for the user to pick one
site_idYes
summaryNo
live_urlNo
open_urlYes
questionNo
compilingNoThe preview is still updating with the finished change
follow_upsYesThings the user still has to do in WebTwizz, like connecting a database or adding a key
undo_guardNoPass as only_if_latest when undoing, so newer work is never lost
preview_urlYes
confirmationNoSet while the build waits for the user to approve something; answer with confirm-action
files_changedYes
preview_readyYesWhether the draft preview is running right now
undo_point_idNoPass to restore-version to undo this change; only set while nothing has changed since
live_frame_urlNo
elapsed_secondsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare destructiveHint=true and readOnlyHint=false, so the write/overwrite nature is covered structurally. The description adds real context by saying the AI pulls the changes in and verifies the site still runs, but it omits that existing WebTwizz edits may be overwritten and that a GitHub connection is required. It does not contradict annotations.

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 sentences, front-loaded with the usage trigger, and nothing redundant. The trailing phrase 'the card follows it like an edit' is product jargon that costs a little clarity without adding instruction.

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?

An output schema exists, so return values need not be described, and there is only one parameter. For a GitHub-sync tool the description covers the trigger and the core behavior (pull plus build check) adequately, leaving only permission/prerequisite details unstated.

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

Parameters2/5

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

Schema description coverage is 0% and the description never mentions site_id, its format, or which site it targets. With a single obligatory parameter the omission is partly forgiven by the self-explanatory name, but the description does not compensate for the coverage gap as low-coverage schemas require.

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?

The description states a specific verb+resource+direction: pulling the user's GitHub code changes into WebTwizz. The direction (GitHub -> WebTwizz) implicitly separates it from the sibling push-to-github, 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?

It gives a clear trigger condition: 'Use this when the user changed their WebTwizz site's code on GitHub and wants those changes in WebTwizz.' That is a well-specified when-to-use, but it offers no when-not guidance and does not point to push-to-github or download-code as alternatives.

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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