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Duck Framework MCP

scaffold_blueprint

Scaffold a new Duck Framework blueprint. Generates a blueprint structure containing blueprint.py, views.py, and optional UI, template, and static directories following the documented Duck blueprint conventions. Returns generated file contents and the settings configuration needed to register the blueprint. This tool does not write files.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlpatternsNo
blueprint_nameYes
enable_static_dirNo
enable_template_dirNo
prepend_name_to_urlsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does disclose the single most important trait: "This tool does not write files" — it returns generated file contents plus the settings configuration to register the blueprint. That prevents a false assumption that scaffolding mutates the project on disk. It stops short of stating overwrite/idempotency behavior or error conditions, which is why it is not a 5.

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?

Four short sentences, front-loaded with the action and followed by concrete output artifacts. The final sentence about not writing files is high-value and earns its place; there is minor redundancy between "Generates a blueprint structure" and the file list.

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?

It covers the return shape well enough that the absence of an output schema is tolerable (file contents plus settings config), and the no-write disclosure is important. But with 5 parameters, 0% schema documentation, and no annotations, the definition leaves too much of the invocation surface unexplained to be complete.

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 all five parameter names are bare, so the description must compensate — and it effectively does not. It never mentions urlpatterns, prepend_name_to_urls, or that enable_static_dir/enable_template_dir are (oddly) typed as strings rather than booleans; the only weak linkage is "optional UI, template, and static directories." An agent cannot determine value formats from this text.

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 gives a specific verb and resource ("Scaffold a new Duck Framework blueprint") and enumerates the concrete artifacts produced (blueprint.py, views.py, optional UI/template/static dirs), so the purpose is unambiguous. It does not explicitly position itself against near siblings such as scaffold_project or get_blueprint_structure, which keeps it at 4 rather than 5.

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?

Usage is only implied: the name and the phrase "new ... blueprint" suggest it is for creating fresh blueprint scaffolding, and naming conventions imply the get_* siblings are for inspecting existing ones. There is no explicit when-to-use/when-not-to-use statement or named alternative, so an agent must infer routing.

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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