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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
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It describes the tool's purpose and usage context well but lacks details on behavioral traits like rate limits, authentication needs, error handling, or what specific status information is returned. The description doesn't contradict any 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 well-structured with bullet points and symbols, front-loading the core purpose. Every section (Best for, Not for, Prerequisites, etc.) adds value without redundancy, making it efficient and easy to scan.

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 quite complete for usage guidance and purpose. However, it lacks details on return values or behavioral constraints, which would be helpful since there's no output schema.

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%, with the single parameter 'deploymentId' clearly documented in the schema. The description doesn't add any parameter-specific information beyond what the schema provides, so it meets 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 specific action ('Check the current status') and resource ('a deployment'), distinguishing it from sibling tools like deployment_list (lists deployments) or deployment_logs (gets logs). It's not a tautology and provides precise functionality.

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 explicitly includes 'Best for' and 'Not for' sections, providing clear when-to-use and when-not-to-use guidance. It also lists prerequisites (deployment_list, deployment_trigger) and next steps (deployment_logs), offering comprehensive usage context.

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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