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test_integration

Send a test payload through bidirectional integration end-to-end and verify correct arrival on the other side, returning pass/fail verdict and response details.

Instructions

Send a single test payload through the bidirectional integration end-to-end and verify it arrives correctly on the other side.

For SN→external: touches a specific SN record (sets a harmless field) to fire the Business Rule, then polls the correlation table to confirm the external record was created/updated.

For external→SN: POSTs a test payload directly to the SN Scripted REST API inbound endpoint and verifies the SN record was updated.

Returns: pass/fail verdict, response from both sides, correlation record state.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
prefixYesIntegration prefix (from design_integration plan)
directionYesWhich direction to test
sn_record_sys_idNoFor sn_to_external: sys_id of a real SN record to trigger sync on
test_payloadNoFor external_to_sn: payload to POST to the inbound endpoint
sn_tableNoSN table the record belongs to
Behavior4/5

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

With no annotations, the description fully discloses behavior: for SN->external it touches a record and polls, for external->SN it POSTs a payload and verifies. It mentions 'harmless field' to indicate non-destructive side effect. Could add more on polling timeout or potential side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with paragraphs for each direction and a list for return. It is relatively long but each section serves a purpose. Minor wordiness could be trimmed.

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?

Despite no output schema, the description explicitly states the return (pass/fail verdict, responses, correlation state). It covers both directions, all parameters, and the high-level flow. Complex tool needs this completeness.

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

Parameters4/5

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

All 5 parameters have schema descriptions, and the description adds context: 'prefix' linked to design_integration plan, direction modes with clear usage, and conditional parameters explained per direction. This adds value beyond 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 clearly identifies the tool's action (send test payload and verify) and the resource (bidirectional integration). It distinguishes between two directions and differentiates from sibling tools focused on other integration tasks.

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 explains when to use each direction and the required parameters based on direction. It does not explicitly state when not to use the tool or list alternatives, but the context is clear and adequate.

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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