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kopern_deploy_template

Deploy an agent from one of 28 general and 9 vertical templates, automatically creating agent, skills, tools, and grading suite in one operation.

Instructions

Deploy an agent from a template (28 general + 9 vertical). Creates agent + skills + tools + grading suite in one shot. Use kopern_list_templates to see available slugs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesTemplate slug (from kopern_list_templates)
answersNoOnboarding answers to personalize the template (e.g. { businessName: 'Plomberie Dupont', zone: 'Paris 12-15' })

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv2.0.5

TDQS

A4.3/5.0
Behavior4/5

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

The annotations already indicate this is a non-read-only, non-idempotent operation. The description adds significant transparency by enumerating exactly what is created ('agent + skills + tools + grading suite'), which is beyond the annotations' simple safety classification. It does not, however, disclose potential side effects like overwriting or reversibility, but the added detail is valuable.

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 two sentences, front-loaded with the core function, and includes a practical usage pointer. Every sentence earns its place; there is no fluff or repetition of schema details.

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

Completeness3/5

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

For a complex tool that creates multiple resources, the description explains the action and the prerequisite for finding slugs. However, with no output schema, it fails to describe what the agent receives in response (e.g., IDs of created resources), and it does not mention any required permissions or error conditions. This is a meaningful gap for such a comprehensive operation.

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?

The input schema covers both parameters with descriptions (100% coverage). The description enhances the slug parameter by telling the agent to use kopern_list_templates to see available slugs, which provides practical guidance on valid values. This adds meaning beyond the schema's basic type/description, justifying a score above the baseline of 3.

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 clearly states the tool's function with a specific verb ('Deploy'), a clear resource ('an agent from a template'), and details the scope ('Creates agent + skills + tools + grading suite in one shot'). It also distinguishes itself from siblings like kopern_create_agent by emphasizing the all-in-one template-based deployment, and mentions the count of templates (28 general + 9 vertical) for added specificity.

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?

The description gives clear usage context by indicating an all-in-one deployment ('in one shot') and provides a direct prerequisite ('Use kopern_list_templates to see available slugs'). However, it does not explicitly contrast with alternative tools like kopern_create_agent or state when one might prefer individual creation steps, so it lacks explicit exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.