Skip to main content
Glama
enzoemir1

invoiceflow-mcp

List Invoices

invoice_list
Read-onlyIdempotent

Search and filter invoices by status, client, amount, or date range. Returns detailed invoice data including line items and payment state for dashboards and automated workflows.

Instructions

Search and filter invoices. Optional filters: status ("draft"|"sent"|"viewed"|"paid"|"overdue"|"cancelled"|"refunded"), client_id, min_amount, max_amount, date_from/date_to (ISO dates), overdue_only (boolean). Pagination via limit (default 50, max 200) and offset. Returns {total, invoices[]} where each invoice includes full line_items and payment state. Use this to build dashboards or drive invoice_remind/invoice_risk workflows.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoPage size, 1–100. Defaults to 20.
offsetNoNumber of results to skip for pagination. Defaults to 0.
statusNoRestrict to one lifecycle state: draft, sent, viewed, paid, overdue, cancelled, refunded.
to_dateNoFilter to invoices with issue_date ≤ this ISO-8601 datetime.
client_idNoRestrict to invoices billed to this client UUID.
from_dateNoFilter to invoices with issue_date ≥ this ISO-8601 datetime.
max_amountNoInclusive upper bound on total amount.
min_amountNoInclusive lower bound on total amount (any currency, no FX conversion).
overdue_onlyNoWhen true, returns only invoices whose due_date is past and status is not paid/cancelled/refunded. Defaults to false.
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false. The description adds beyond this by specifying the return shape ({total, invoices[]}) and including that it returns full line_items and payment state.

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

Conciseness3/5

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

The description is front-loaded and relatively concise, but it combines all information in a single paragraph. The contradiction with the schema reduces trust.

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 9 parameters with 100% schema coverage, no output schema, the description adequately provides return structure and usage context. The contradiction is a gap but overall completeness is good.

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 100%, so baseline is 3. However, the description contradicts the schema on limit default (says 50, schema says 20) and max (says 200, schema says 100), which will mislead an agent. It does add some explanatory context for filters like overdue_only.

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 action ('Search and filter invoices') and resource, and distinguishes from siblings by noting the tool's output includes full line_items and payment state, with explicit use cases for dashboards and driving invoice_remind/invoice_risk workflows.

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 advises when to use this tool ('build dashboards or drive invoice_remind/invoice_risk workflows') and documents optional filters and pagination. It does not explicitly state when not to use it, but the context is clear enough.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/enzoemir1/invoiceflow-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server