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khushi-nayal

ExD Accelerator MCP Server

by khushi-nayal

bulk_create_offers

Create ExD offers in bulk from CSV text. Preview payloads with dry_run, then execute after confirmation.

Instructions

Bulk-create ExD offer items from CSV rows. Each row becomes one offer. Requires confirmed: true to execute — previews payloads first. Use dry_run: true to inspect full JSON payloads.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dry_runNoReturns full JSON payloads without calling the API
csv_textYesFull CSV text
confirmedNoSet to true to execute the write. Leave false to preview.
access_tokenNoBearer token — optional, server will auto-mint if missing
lifecycle_statusNodraft
Behavior4/5

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

With no annotations, the description effectively discloses the tool's two-step behavior: preview via dry_run, then execute via confirmed. It implies a write operation but doesn't detail error handling or rate limits.

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 concise sentences front-load the core purpose and key workflow details. Every sentence adds value with no wasted words.

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 5 parameters and no output schema, the description covers the main execution flow and critical flags. It lacks details on return values or error handling but is adequate for use.

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 coverage is 80%, so the schema already documents most parameters. The description reinforces the dry_run/confirmed workflow but adds little meaning beyond the schema's parameter descriptions.

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 tool bulk-creates ExD offer items from CSV rows, each row becomes one offer. This is specific and distinct from sibling tools like create_placement or create_ranking_formula.

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 the preview-then-execute workflow using dry_run and confirmed parameters. However, it does not explicitly state when to avoid using this tool (e.g., for single offers) or mention alternatives among siblings.

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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