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enzoemir1

invoiceflow-mcp

Seed Demo Data

invoice_demo_seed

Populate the store with a realistic demo dataset to evaluate InvoiceFlow without live credentials. Returns sample invoice IDs for testing risk and payment tools.

Instructions

Populate the store with a realistic demo dataset: 8 clients across 5 archetypes (on-time, late-payer, high-value, new, chronic-late) and 25-45 invoices spanning the last 6 months (paid, sent, and overdue). Every invoice has line items, tax, payment history, and reminder metadata. Use this to evaluate InvoiceFlow via MCP Inspector without real Stripe, SendGrid, or PayPal credentials — invoice_list, cashflow_report, invoice_risk, and payment_reconcile all return meaningful results against the returned ids. Safe to call multiple times; each call appends a fresh batch with unique UUIDs. Returns counts plus sample_invoice_ids you can feed straight into invoice_risk or invoice_mark_paid.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations set destructiveHint:false and readOnlyHint:false. Description adds that each call appends a fresh batch with unique UUIDs, making it safe and non-destructive. No contradictions.

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?

Four sentences in a single paragraph, front-loaded with purpose. Detailed but not verbose. Could be slightly more structured with bullet points, but it's effective.

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?

With zero parameters and no output schema, the description fully explains the tool's behavior, data generated, and integration with other tools. Mentions return values (counts and sample IDs). Complete for a seeding tool.

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?

Input schema has zero parameters, so description cannot add param detail. Schema coverage is 100% (empty). Description explains what the tool does without parameters, which is sufficient.

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 populates the store with a demo dataset, specifying 8 clients across 5 archetypes and 25-45 invoices with line items, tax, etc. It distinguishes from sibling tools by being a seeding tool for evaluation purposes.

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?

Explicitly says 'Use this to evaluate InvoiceFlow via MCP Inspector without real credentials' and 'Safe to call multiple times'. It implies when to use (testing) and not to use (real data). No explicit when-not to use alternatives, but context is clear.

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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