Keelen

Get Provisioning Status

get_provisioning_status

Check whether a new project has finished setting up and is ready to build.

Returns overall (provisioning | ready | errored), a 7-stage checklist, and a
user-facing error_kind when a stage failed. next_action is "wait" with
poll_after_seconds (~10s) while provisioning, "wait" with NO
poll_after_seconds when errored (fix the reported cause, then re-check —
polling again without fixing it will not change the result), and "done" when
overall is 'ready' — submit_request(project_id, text) then steers the loop.
Reaching 'ready' also PERSISTS the owner's onboarding-completion
state, so this is not a pure read. Tenant-scoped: a project not in the
caller's workspace 404s.

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": {
      "project_id": "<project_id>"
    },
    "name": "get_provisioning_status"
  }
}

Input Schema

Name	Required	Description	Default
`project_id`	Yes

Output Schema

Name	Required	Description	Default
`result`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

First observedAug 19, 2026

TDQS

A4.6/5.0

Behavior5/5

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

Discloses behaviour well beyond the annotations: it warns the tool is not a pure read (reaching 'ready' persists onboarding-completion state), matches readOnlyHint=false and idempotentHint=false without contradicting them, and adds poll timing, error_kind semantics, and tenant-scoping 404 behaviour.

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?

Front-loads the core purpose, then layers state-specific next_action guidance. Dense and mostly waste-free, though the run-on enumeration of next_action variants is slightly hard to scan.

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 single-parameter status tool the description is complete: it covers the states, the error path, the loop-driving next action, and the persistence side effect. An output schema exists, so return-value documentation is unnecessary and the extra detail is bonus.

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?

Only one parameter, project_id, with 0% schema description coverage. The description implies tenant scoping and mentions project_id in the submit_request example, but never clarifies the expected format (ID vs name) or how to obtain it, so it adds limited semantics beyond the self-evident name.

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: checking whether a new project has finished provisioning and is ready to build. It is clearly distinguishable from siblings like get_onboarding_status and project_status through the provisioning-stage framing.

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?

Explicitly prescribes behaviour per state: poll with poll_after_seconds while provisioning, do NOT poll while errored (fix the cause first), and call submit_request(project_id, text) once 'ready'. This is when-to-use guidance at the level of an agent loop, not just a hint.

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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