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MCP Task Manager Server_importProject

Import project data from a JSON string to create a new project, ensuring validation for structure, parsing, and size limits. Returns the unique project_id upon successful creation.

Instructions

Creates a new project by importing data from a JSON string. The JSON data must conform to the structure previously generated by the 'exportProject' tool. Performs validation on the input data (parsing, basic structure, size limit). Returns the unique project_id of the newly created project upon success.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
new_project_nameNoOptional name for the newly created project (max 255 chars). If omitted, a name based on the original project name and import timestamp will be used.
project_dataYesRequired. A JSON string containing the full project data, conforming to the export structure. Max size e.g., 10MB.
Behavior4/5

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

With no annotations provided, the description carries the full burden and does well by disclosing key behaviors: it creates a new project (implying mutation), performs validation (parsing, structure, size limits), and returns the project_id upon success. It doesn't mention error handling or permissions, but covers essential operational traits.

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 efficiently structured in four sentences, each adding distinct value: purpose, data requirements, validation details, and return value. It's front-loaded with the core action and wastes no words.

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?

For a mutation tool with no annotations and no output schema, the description is reasonably complete: it explains the action, input requirements, validation, and return value. However, it lacks details on error cases, permissions, or side effects, which would be helpful given the complexity of project creation.

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 fully documents both parameters. The description adds minimal value beyond the schema by implying 'project_data' must match export structure, but doesn't provide additional syntax or format details. Baseline 3 is appropriate when schema does the heavy lifting.

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 specific action ('Creates a new project by importing data from a JSON string'), identifies the resource ('project'), and distinguishes it from sibling tools like 'createProject' by specifying the import mechanism and reference to 'exportProject'.

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 provides clear context for when to use this tool ('importing data from a JSON string' that 'must conform to the structure previously generated by the exportProject tool'), but does not explicitly state when not to use it or mention alternatives like 'createProject' for non-import scenarios.

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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