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premsaidaggolu

SAP CPI MCP Server

Deploy Artifact

deploy_artifact

Deploy design-time artifacts to SAP Cloud Integration runtime asynchronously. Supports multiple artifact types with status tracking.

Instructions

Deploy a design-time artifact to the runtime. Choose the artifact type. Requires ALLOW_WRITE. Deployment is asynchronous — check status with get_deployed_artifact_status or get_build_and_deploy_status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNointegrationFlow
confirmNoMust be true to proceed.
versionNoactive
artifactIdYes
Behavior4/5

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

With no annotations present, the description carries the full burden of disclosing behavior. It reveals that the operation requires ALLOW_WRITE, is asynchronous, and provides two specific status-check tools for follow-up. This goes beyond the schema. However, it does not mention whether deployment overwrites existing artifacts or what happens on failure, missing some depth for a mutation tool.

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 three concise sentences, each earning its place: purpose, type selection, and permission/async guidance. No fluff or repetition. It is front-loaded with the core action and provides actionable follow-up without verbosity.

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

Completeness3/5

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

For a deployment tool with no output schema and low parameter documentation, the description covers the essential asynchronous nature and permission requirement, and points to status tools. However, it omits the confirm parameter's role, version semantics, and any notion of operation IDs or failure behavior. It is adequate but leaves clear gaps for a tool of this complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 25% (only 'confirm' has a schema description). The description adds meaning only for the 'type' parameter via 'Choose the artifact type.' It does not explain artifactId (required), version (defaults to 'active'), or that confirm must be true. Additionally, the description mentions 'Requires ALLOW_WRITE' but does not mention the confirm flag, which is a critical parameter for execution. This is insufficient for a low-coverage schema.

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 uses a specific verb and resource: 'Deploy a design-time artifact to the runtime.' This clearly distinguishes the tool from siblings like 'undeploy_artifact', 'get_deployed_artifact_status', and 'get_build_and_deploy_status'. The action is unambiguous and matches the tool name.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use this tool: whenever you need to deploy an artifact to the runtime. It also provides follow-up guidance by mentioning status-check alternatives after asynchronous deployment. However, it does not explicitly state when not to use it or contrast with alternatives like 'save_integration_flow_as_version' or 'create_integration_flow', so it stops short of full exclusion guidance.

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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