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List invoices

list_invoices
Read-onlyIdempotent

List invoices for the current organization. Returns latest invoices with optional filtering and sorting.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_invoices"
  }
}

Input Schema

NameRequiredDescriptionDefault
pageNoPage number (default: 1)
searchNoSearch by invoice number, customer name, email, or description
sortByNoSort field (default: issuedDate)
statusNoFilter by invoice status
pageSizeNoNumber of invoices per page (default: 10, max: 20)
sortOrderNoSort order (default: desc)

Schema Changelog

Changes observed during successful MCP inspections.

No schema history has been recorded yet.

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds only that results are the 'latest invoices' (a hint at default recency ordering) and that filtering/sorting are supported — useful but thin beyond the structured data.

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?

Two short sentences, scope front-loaded, zero padding. The second sentence is mildly redundant with the first but does add the filtering/sorting and 'latest' detail, so it still earns its place.

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 simple read-only list tool with zero required parameters, full schema coverage and complete annotations, the description is sufficient to call it correctly. Without an output schema one might wish for more on the return shape, but the annotations and schema carry the rest.

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 100%, so all six optional parameters (search, status, sortBy, sortOrder, page, pageSize) are already documented with defaults, enums and bounds. The description only restates generically that filtering and sorting exist, adding no meaning beyond the schema — the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb and resource ('List invoices') and scopes it to 'the current organization', which lets an agent distinguish it from sibling list_* tools for other resources. It stops short of naming any alternative explicitly, but the purpose is unambiguous.

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

Usage Guidelines2/5

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

There is no when-to-use or when-not-to-use guidance beyond the implicit organization scope. Nothing tells the agent whether to use this versus list_invoice_payments or a filtered fetch, and no prerequisites or pagination workflow advice is given.

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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