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Create a project

seo_project_create

Creates a new programmatic-SEO project and returns its projectId. Call this when seo_project_list comes back empty — every other tool needs a projectId and a new account has none. The project is created EMPTY: it still needs a data source and a content spec before seo_content_generate will run, so call seo_project_get afterwards and read readinessNote. FREE — this call costs nothing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesDisplay name, e.g. 'Plumbers by city'. The URL slug is derived from it automatically.
domainNoOptional custom domain the pages will be published on, e.g. 'example.com'. Omit to serve them under the platform's own domain.
aiModelNoOptional model id. Defaults to gemini-2.5-flash on the Gemini endpoint.
aiApiKeyNoBYOK: the AI provider key this project runs on (stored encrypted). Recommended: a Google Gemini key from aistudio.google.com/apikey — its free tier works with no card. Omit to connect later via seo_project_connect_ai.
templateNoPage template. Defaults to 'location'.
aiBaseUrlNoOptional OpenAI-compatible base URL for the key. Defaults to Google's Gemini endpoint. Example for OpenRouter: https://openrouter.ai/api/v1
perplexityApiKeyNoOptional Perplexity API key (api.perplexity.ai) to enable citation-bearing AI visibility checks for this project. Stored encrypted.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
slugYes
domainYes
nextStepYes
templateYes
projectIdYesPass this to every other tool.
readyToGenerateYesAlways false here — a new project has no data source yet.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • addedInput schema / properties / aiApiKey
      Added value: +{
      +  "description": "BYOK: the AI provider key this project runs on (stored encrypted). Recommended: a Google Gemini key from aistudio.google.com/apikey — its free tier works with no card. Omit to connect later via seo_project_connect_ai.",
      +  "type": "string"
      +}
    • addedInput schema / properties / aiBaseUrl
      Added value: +{
      +  "description": "Optional OpenAI-compatible base URL for the key. Defaults to Google's Gemini endpoint. Example for OpenRouter: https://openrouter.ai/api/v1",
      +  "type": "string"
      +}
    • addedInput schema / properties / aiModel
      Added value: +{
      +  "description": "Optional model id. Defaults to gemini-2.5-flash on the Gemini endpoint.",
      +  "type": "string"
      +}
    • addedInput schema / properties / perplexityApiKey
      Added value: +{
      +  "description": "Optional Perplexity API key (api.perplexity.ai) to enable citation-bearing AI visibility checks for this project. Stored encrypted.",
      +  "type": "string"
      +}
  2. Added

TDQS

A4.5/5.0
Behavior5/5

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

Annotations only say readOnlyHint=false, idempotentHint=false, destructiveHint=false, leaving the safety profile mostly inferred. The description adds genuinely valuable behavior beyond that: the project is 'created EMPTY' and still needs a data source and content spec before seo_content_generate runs, the agent should fetch readinessNote afterward, and 'FREE — this call costs nothing' discloses billing behavior the annotations never cover. No contradiction with annotations.

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?

Four sentences, each earning its place: what it does, when to call it, what state it leaves the project in and the follow-up step, and cost. The core purpose is front-loaded in the first clause, and no sentence repeats schema or annotation content. Dense but not bloated.

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 7-parameter creation tool with a 100%-documented schema list hubs and an output schema present, the description covers the non-obvious operational context: empty-list trigger, projectId dependency of sibling tools, empty creation state, readinessNote follow-up, and cost. An agent has everything needed to decide whether and how to invoke this tool correctly.

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 baseline of 3 applies. All seven parameters already carry rich descriptions in the schema (e.g., 'BYOK: the AI provider key... stored encrypted'). The description adds context about the projectId output and empty-state lifecycle but does not enhance meaning of any individual parameter, which is acceptable given the schema bears that burden.

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 and resource ('Creates a new programmatic-SEO project') and names the concrete outcome ('returns its projectId'). The sentence 'every other tool needs a projectId and a new account has none' differentiates it from the sibling toolset by positioning it as the entry-point creation operation. No ambiguity with nearby siblings like seo_project_connect_ai or seo_project_get.

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 an explicit trigger condition: 'Call this when seo_project_list comes back empty.' It also explains the rationale ('every other tool needs a projectId') and prescribes the follow-up sequence ('call seo_project_get afterwards and read readinessNote'). It stops short of an explicit when-not-to-use statement or naming alternatives, but the context is clear enough for an agent to route correctly.

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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