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Connect Replicate prediction bridge

connect_replicate_prediction_bridge

Create a scaffold for Replicate prediction handoffs with request templates, polling/webhook maps, output contracts, and credential-safety notes to bridge AI models into TouchDesigner.

Instructions

Create a Replicate-style prediction handoff scaffold with request templates, polling/webhook maps, output contracts, and credential-safety notes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoGenerated baseCOMP name.replicate_prediction_bridge
activeNo
model_refNoModel/version reference hint.owner/model:version
output_modeNoimage
parent_pathNoParent COMP for the Replicate scaffold./project1
webhook_urlNoOptional webhook callback URL or adapter route.
endpoint_urlNoPrediction endpoint or local adapter URL.https://api.replicate.com/v1/predictions
poll_secondsNo
request_modeNowebclient_json
Behavior3/5

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

Annotations already declare it is not read-only (readOnlyHint=false) and not destructive (destructiveHint=false), aligning with 'Create'. The description adds what the scaffold contains (e.g., credential-safety notes) but does not disclose whether the tool calls the Replicate API, requires credentials, or has other side effects. No contradiction with annotations.

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 a single, front-loaded sentence starting with the verb 'Create'. It efficiently lists the scaffold components without filler, earning its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a 9-parameter tool with no output schema and no required parameters. The description does not explain the tool's return value, what executing it actually does (e.g., does it build files, modify a project?), or prerequisites like Replicate API credentials. The listed artifacts give some context but are insufficient for an agent to fully understand the operation.

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 56%, with key params (name, model_ref, parent_path, webhook_url, endpoint_url) already described. The description's mention of 'polling/webhook maps' provides loose context for poll_seconds and request_mode, but it does not explain individual parameters beyond what the schema already provides.

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 is specific: 'Create a Replicate-style prediction handoff scaffold' with concrete artifacts (request templates, polling/webhook maps, output contracts, credential-safety notes). It clearly distinguishes from sibling connect_* tools by naming Replicate predictions.

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?

The description implies the use case (Replicate prediction integration) via the name and 'Replicate-style' wording, but there is no explicit 'use when' context or comparison to alternative bridges. No exclusions or alternative tool names are given, so guidance is only implied.

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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