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Check Deployment Status

check_status
Read-only

Read the current installation progress ONCE, on demand. Call this only when the user explicitly asks how the deploy is going (e.g. "what is the status", "did it finish") — never on a timer and never in a polling loop. The deploy takes 8-14 minutes and the authoritative status channels are the email pipeline + the dashboard; one read on request is enough. Returns the current step, the list of completed steps (~44 total in a full bootstrap), and whether installation is done or failed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idYesThe session_id returned by register_and_deploy or retry_deploy.

TDQS

A4.5/5.0
Behavior4/5

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

Annotations declare readOnlyHint=true and destructiveHint=false. The description goes further by detailing behavioral traits: it is a one-time read on demand, the deployment timing (8-14 minutes), and the return content (current step, completed steps, done/failed). This adds valuable context without contradicting 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 four sentences, front-loaded with purpose and usage. Every sentence provides essential information without redundancy, earning its place. It is both concise and well-structured.

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?

Given the tool has one parameter, no output schema, and no nested objects, the description is complete. It explains what the tool returns (current step, completed steps, done/failed), which is critical since there is no output schema. No gaps or ambiguities remain.

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 input schema has one parameter (session_id) with a description, and coverage is 100%. The description does not add new details about the parameter itself, but it provides context by stating where the session_id comes from (register_and_deploy or retry_deploy). This is marginally helpful, meeting the baseline for high schema coverage.

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 reads current installation progress on demand, specifies the verb ('Read'), the resource ('current installation progress'), and distinguishes from sibling tools like register_and_deploy and retry_deploy. It explains when to call (user explicitly asks, never on timer or polling), making its purpose unambiguous.

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 provides explicit usage guidance: call only when the user explicitly asks about deployment status, never on a timer or in a polling loop. It also mentions authoritative status channels (email pipeline + dashboard), helping the agent decide when to use this tool versus alternatives.

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

A4.6/5.0
Disambiguation5/5

Each tool serves a distinct, non-overlapping purpose: status checking, project info, subdomain retrieval, VPS recommendation, deployment registration, and retry. No two tools could be confused for the same task.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case (e.g., check_status, get_project_info, register_and_deploy). The naming is predictable and clear.

Tool Count5/5

Six tools is appropriate for the server's scope—deploying and managing a single Fractera server. Each tool is essential and covers the core workflow without unnecessary bloat.

Completeness4/5

The tool set covers the main deployment lifecycle: recommendation, deploy, status check, subdomain retrieval, and retry. Minor gaps exist (e.g., no tool to update deployment configuration or list historical deployments), but the core user journey is complete.

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