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deployment_status

Check the current status of a deployment to monitor progress, verify success, or identify failures in Railway.app infrastructure.

Instructions

[API] Check the current status of a deployment

⚡️ Best for: ✓ Monitoring deployment progress ✓ Verifying successful deployments ✓ Checking for deployment failures

⚠️ Not for: × Service runtime logs × Database logs

→ Prerequisites: deployment_list, deployment_trigger

→ Next steps: deployment_logs

→ Related: service_info, service_restart, deployment_wait

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
deploymentIdYesID of the deployment to check status for
Behavior4/5

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

With no annotations provided, the description carries the full burden. It effectively describes the tool's behavior as a read-only status check (implied by 'Check' and monitoring use cases), though it doesn't explicitly mention safety aspects like rate limits or error handling. The context is clear but could be more detailed on behavioral traits.

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 bullet points and icons, front-loading the core purpose and followed by organized sections (Best for, Not for, prerequisites, etc.). Every sentence earns its place with no wasted words, making it highly scannable and informative.

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

Completeness4/5

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

Given the tool's moderate complexity (single parameter, no output schema, no annotations), the description is largely complete—covering purpose, usage, and context well. However, it lacks details on return values or error cases, which would be helpful since there's no output schema, leaving a minor gap in full contextual understanding.

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 100% description coverage, with the parameter 'deploymentId' well-documented in the schema itself. The description adds no additional parameter information beyond what the schema provides, so it meets the baseline of 3 for high schema coverage without extra value.

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 specific action ('Check the current status') and resource ('a deployment'), distinguishing it from sibling tools like deployment_list (which lists deployments) and deployment_logs (which provides logs). The purpose is precise and 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 guidance with 'Best for' (monitoring progress, verifying success, checking failures) and 'Not for' (service/database logs), plus prerequisites (deployment_list, deployment_trigger), next steps (deployment_logs), and related tools (service_info, service_restart, deployment_wait). This comprehensively defines when and how 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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