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create_database

Give this project a database, so the published site can store what visitors submit -- contact-form messages, bookings, enquiries, signups.

Call this when the site needs to KEEP what visitors send rather than just email it onward, or when the user asks where their form submissions go. One database per project, created and named by Orivox; there is nothing to configure and no filename to choose.

Safe to call more than once: if the project already has one, nothing is changed and created comes back False. Check created before telling the user anything was set up.

tables lists what the database currently holds -- an empty list means it exists but nothing has been stored yet, which is the normal state for a site that has not been published or has had no submissions.

SCOPE: this CREATES the database. To read what visitors submitted, use the query_database tool; forms store rows through the site's own data-collection contract, not through this call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_guidYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

A4.7/5.0
Behavior5/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure and does so thoroughly. It discloses idempotence ('Safe to call more than once'), the meaning of the 'created' flag, the meaning of 'tables', and the system-managed naming behavior. This goes far beyond what structured fields would indicate.

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 substantial but every sentence earns its place. It front-loads the core purpose in the first line, then adds usage criteria, idempotency, return semantics, and scope boundaries in a logical order without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter tool with no annotations and no schema descriptions, this is remarkably complete. It covers the purpose, when to use it, exception behavior, idempotency, return values, and the sibling tool for reading data. The only slight omission is explicit detail on the project_guid parameter, which is minor given its self-explanatory name.

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?

The schema has 0% description coverage, so the description must compensate, and it only implies that the single 'project_guid' parameter refers to 'this project.' The parameter name is fairly self-explanatory and the one-parameter shape makes mistakes unlikely, but the description never explicitly explains what value to pass or how to obtain it.

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 states a specific verb and resource: it creates the project's database so the published site can store visitor submissions. It also explicitly distinguishes itself from the query_database sibling by declaring 'SCOPE: this CREATES the database' and 'To read what visitors submitted, use the query_database tool.'

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

Usage Guidelines5/5

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

The description gives clear when-to-use conditions: call when the site needs to KEEP visitor submissions or when the user asks where form submissions go. It also states what this tool is NOT for, naming query_database as the alternative for reading submissions, which is strong 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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TDQS

A3.8/5.0
Disambiguation4/5

Most tools pair a distinct action with a distinct resource and long descriptions make intent clear. Still, `search_domains` already provides exact-domain checks, overlapping with `check_domain`, and the `create_project` vs `create_new_site` vs `create_page` cluster takes careful reading.

Naming Consistency5/5

The vast majority are snake_case verb_noun: list_projects, create_project, delete_page, get_preview_url, write_asset, query_database, publish_website. The only visible outlier is whoami, but it is standard enough that it does not disrupt predictability.

Tool Count2/5

At 36 tools this is meaningfully heavier than the rubric's 'too many' threshold, even though the scope spans websites, backends, domains, gallery images, and databases. It makes selection harder and a sizeable portion of the surface is niche or lifecycle internal.

Completeness4/5

The core site lifecycle is well covered: project, htmlmanag, assets, preview/publish, validation, deletion, uploaded images, backend files/logs, database reading, domain search and purchase linking. Workable non-critical gaps exist, e.g. no separate project metadata rename and no direct way to delete database rows or a database outside of deleting the project.

Resources