create_project
Create a workspace project to organize scientific work.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | ||
| description | No |
Create a workspace project to organize scientific work.
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | ||
| description | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare this is a non-read-only, non-destructive, non-idempotent, closed-world operation, and the description merely restates the write intent. It adds nothing about permissions required, quotas, whether the caller becomes an owner, or what happens to an existing name collision.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single compact sentence with the action front-loaded and no filler. Appropriately sized for what it says, even though it says too little.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a mutation tool with no output schema and zero parameter documentation, the description omits the return value, permission requirements, and parameter meaning. It is far short of what an agent needs to invoke it confidently.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% across 2 parameters, so the description was the only place to explain 'name' (required, 1-80 chars) and optional 'description' (max 500). It mentions neither, leaving both parameters semantically bare.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description gives a clear verb (Create) and resource (workspace project) plus a brief rationale ('to organize scientific work'). It is distinguishable from siblings like list_projects or assign_project through the 'create' verb, though it never explicitly contrasts them.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no when-to-use guidance, no prerequisites, and no mention of alternatives such as assign_project or list_projects. An agent gets no signal about when this tool is the right choice.
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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