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project.create

Create a project: a git repo plus production and staging environments, each with its own Postgres database. May return pending_approval: the owner is emailed a link to approve; tell them it is waiting, then poll approval.status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesLowercase name, 3-40 chars, e.g. acme-crm

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden and does substantially: it discloses that this is a multi-resource write (repo, two environments, two databases) and that the operation can be gated by an asynchronous owner-approval flow with a specific follow-up action. It omits auth/permission requirements, failure and rollback behavior, and whether re-invoking with the same name is idempotent.

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, both load-bearing. The resource definition comes first, then the approval-flow caveat, with zero filler or restatement of the tool name.

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 create tool with no annotations and no output schema, the description covers the important non-obvious behavior: the composite resources created and the pending_approval return path with the required agent follow-up. It is nearly complete; only permission prerequisites and error/repeat-call semantics are left unstated.

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% for the single `name` parameter (lowercase, 3-40 chars, with an example), so the schema already documents it fully. The description adds nothing about the parameter; the baseline of 3 applies when the schema does the heavy lifting and the description does not compensate or extend.

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?

States a specific verb (create) and resource (project), then immediately defines the domain noun by listing the composite resources produced: a git repo plus production and staging environments, each with its own Postgres database. This lets an agent distinguish project.create from siblings like account.create, project.upgrade, or project.delete without opening any schema.

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?

Gives clear operational context for the conditional path: creation may return pending_approval, in which case the owner must approve via email and the agent should tell the user it is waiting, then poll approval.status. It does not state when to prefer this over alternatives or any prerequisites (e.g., account/plan requirements), so it falls short of full when/when-not guidance.

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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