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dreamagent_get_project_status

Read-only

Check a project's creation/deployment state. Terminal states are 'ready' (built and live) and 'failed'; while a project is being created it reports progressive phases such as 'creating', 'building', 'deploying', or 'ai_provisioning' — treat any non-terminal status as still building. Use after dreamagent_create_project (poll until ready or failed) and whenever the user asks whether a project is ready or live.

NOTE: this reports the PROJECT's build/deploy state — NOT AI edit progress. For edits use dreamagent_get_edit_progress.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesthe project to check.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description aligns without contradiction. It adds valuable behavioral context about terminal vs. non-terminal states and advises treating any non-terminal status as still building, which goes beyond the schema and 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?

The description is efficiently structured, with the main purpose front-loaded and a clear second paragraph for the critical distinction from sibling tools. Every sentence contributes essential information; no wasted words.

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?

The description fully covers the tool's context: state semantics, polling workflow, and exclusions. Given the simple schema and presence of an output schema, it provides enough information for an agent to select and use this tool correctly without ambiguity.

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 schema already documents the project_id parameter. The description only restates 'the project to check' without adding new semantic detail, so baseline 3 is appropriate.

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 clearly states the tool checks a project's creation/deployment state with specific verbs and resources. It explicitly distinguishes from sibling tools like dreamagent_get_edit_progress by clarifying what it does NOT report (AI edit progress).

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?

Provides explicit guidance: use after dreamagent_create_project for polling until ready/failed, and whenever the user asks if a project is ready/live. It also names the alternative tool for edit progress, satisfying when-not-to-use criteria.

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

A4.5/5.0
Disambiguation5/5

Every tool has a clearly distinct purpose: create vs. list vs. status, session vs. edit vs. project, and cancel vs. release lock. The three status tools are explicitly differentiated by what they monitor (session, latest edit, deployment).

Naming Consistency5/5

All tools follow the `dreamagent_verb_noun` pattern, with verbs like create, list, get, cancel, release. Retrieval is consistently split: `get_*` for single statuses and `list_*` for collections.

Tool Count5/5

12 tools is well-scoped for a cloud AI project management platform. Each tool addresses a distinct operation, covering creation, monitoring, editing, sessions, and integrations without unnecessary redundancy.

Completeness4/5

Core workflows are covered: create/list/status for projects, sessions management, edit/cancel/progress, and credential listing. Minor gaps exist—no project deletion, no env var updates—but these are not critical for the primary AI edit and deployment flow.

Resources