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SignalEDI

SignalEDI MCP Server

Official
by SignalEDI

Generate Integration Example

generate_integration_example
Read-onlyIdempotent

Generate sandbox-safe code examples in cURL, Node.js, or Python for SignalEDI REST operations. Uses environment placeholders and synthetic values, avoids credentials, and sets outbound to SANDBOX.

Instructions

Generate a sandbox-safe cURL, Node.js, or Python example for the current SignalEDI REST contract. Uses environment-variable placeholders and synthetic values, sets outbound environment to SANDBOX, refuses production hosts, and never embeds credentials. Local read-only operation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
languageYes
operationYes
documentTypeNoFixture type. Outbound examples support 850, 810, and 856; 837 is parse/validate only.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYes
pathYes
notesYes
methodYes
languageYes
operationYes
sourceUriYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.4.1

TDQS

A4.2/5.0
Behavior5/5

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

Beyond the annotations (readOnlyHint, idempotentHint, destructiveHint), the description discloses specific behaviors: uses environment-variable placeholders, synthetic values, sets outbound environment to SANDBOX, refuses production hosts, and never embeds credentials. This adds substantial safety-relevant context that annotations alone do not convey.

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?

Two sentences, front-loaded with the main purpose and followed by safety guarantees. Every clause earns its place with no filler, making it easy for an agent to parse quickly.

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?

For a tool with 3 enums and a oneOf schema, the description covers the essential context (sandbox safety, read-only local behavior, output format). The output schema exists and the oneOf constraints are in the input schema, so the description does not need to reiterate them. Minor gap: it does not explicitly state that no network call is made, though 'local read-only' implies it.

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 only 33% (documentType has a description), so the description must partially compensate. It does clarify the language parameter ('cURL, Node.js, or Python') and hints at operation via 'outbound environment', but it does not explicitly explain the operation or documentType enums or the oneOf constraint. It adds some value but leaves gaps.

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 states a specific verb ('Generate'), a concrete resource ('cURL, Node.js, or Python example for the current SignalEDI REST contract'), and scopes it as sandbox-safe. It is clearly distinct from sibling generate_test_document, which likely produces test EDI payloads rather than client code examples.

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

Usage Guidelines3/5

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

The description gives context (sandbox-safe, current REST contract) and implies use for generating client examples, but it does not explicitly name when to prefer this tool over alternatives like generate_test_document or search_docs, nor does it state exclusions. Usage is implied rather than spelled out.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.