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Create ProteinIQ Project

create_project

Create a workspace project to organize scientific work.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "name": "<name>"
    },
    "name": "create_project"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameYes
descriptionNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
Behavior2/5

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

Annotations already state readOnlyHint=false, destructiveHint=false, openWorldHint=false, idempotentHint=false, so safety basics are covered. The description adds nothing beyond them: no name-uniqueness behavior, no limit on projects per account, no statement of what is returned (project ID?) or whether the caller becomes owner.

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?

A single efficient sentence with no filler. Brevity is appropriate, though it errs toward under-specification rather than over-verbosity.

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?

For a mutation tool with a two-field schema, no output schema, and 0% parameter documentation, the description should say what gets created, what is returned, and any constraints. It covers only the one-line purpose, leaving the agent guessing about results and follow-up steps.

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 the description never mentions the two parameters. It does not explain that 'name' is the required display name (1-80 chars) or what 'description' is for, so no compensation for the schema gap.

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?

Clear specific verb+resource: 'Create a workspace project', with added purpose ('organize scientific work'). It doesn't need heavy sibling differentiation since none of the listed siblings create projects, though it never references list_projects or assign_project as follow-ups.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, no prerequisites, no mention of alternatives or follow-up tools (e.g., assign_project to add members). The agent must infer when a project is the right container versus a workflow.

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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