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import_project

Import an entire project configuration from exported JSON string. Automatically recreates project, collections, and mock endpoints.

Input Schema

NameRequiredDescriptionDefault
dataYesExported project JSON string representation
nameNoNew project name (optional, defaults to exported name if empty)
descriptionNoNew project description

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral burden. It usefully discloses that project, collections, and mock endpoints are automatically recreated, but it omits whether an existing project is overwritten or duplicated, permission/auth requirements, atomicity, failure behavior, and response details.

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?

Two sentences, front-loaded with the core action and source, then one sentence explaining the automatic recreation behavior. There is no redundant text or repetition.

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 bulk-import mutation with no annotations and no output schema, the description covers the core behavior but lacks safety context such as overwrite/duplication risk, prerequisites, and error/return semantics. It is minimally adequate given the fully documented schema, but not complete for a complex import 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 100%, so the schema already explains data, name, and description. The description reinforces that data is an exported JSON string but adds no extra meaning for the optional name or description parameters. Baseline 3 is appropriate.

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 uses a precise verb ('Import') and resource ('entire project configuration'), names the expected source ('exported JSON string'), and specifies the nested resources recreated. This clearly distinguishes it from create_project or export_project.

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?

It implies the tool is for importing a project from an export, but it does not explicitly say when to use this instead of create_project, how to obtain the JSON, or what conditions make it inappropriate. Usage is inferable but not guided.

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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