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Pennylane MCP Server and API by Cotlet

Upload supplier invoice in Pennylane

pennylane_upload_supplier_invoice
Read-onlyIdempotent

Upload supplier invoice in the user's own Pennylane account from ChatGPT, Claude or any AI agent. Returns how to do it in Pennylane step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Pennylane Cloud Browser. Pennylane's official API: Yes, Pennylane has a public REST API (Company API v2) with read and write scopes for customers, customer and supplier invoices, transactions, categories and ledger entries (checked 14 Oct 2026).

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": "pennylane_upload_supplier_invoice"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations declare readOnlyHint=true, openWorldHint=false, idempotentHint=true, and the description is consistent with a guide-only, non-mutating operation ('opens nothing by itself'). It adds meaningful context beyond the annotations by describing the return content (screens, buttons, fields) and the required follow-up browser session. However, the closing paragraph about Pennylane's official REST API is tangential and doesn't inform how to invoke this tool.

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

Conciseness2/5

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

The first two sentences are well front-loaded and do the real work, but the closing sentence about the Company API v2, scopes, and a 'checked 14 Oct 2026' date is irrelevant to calling this tool and bloats the definition. Mixed references to ChatGPT/Claude/any AI agent also add little for an agent selecting the tool.

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 zero-parameter guide tool with no output schema, the description tells the agent what it returns (screen/button/field steps) and what to do next (cotlet_browser_* tools), which is what's needed to use it correctly. The only gap is that it doesn't say whether the guide is Pennylane-domain-specific if the user has multiple accounts, but the 'user's own account' phrasing largely covers that.

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?

The tool takes zero parameters, so the baseline of 4 applies; the schema has no fields to mis-describe. The description correctly implies no inputs are needed and instead frames the output as a step-by-step procedure.

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?

States a specific verb and resource ('Upload supplier invoice') and scopes it to the user's own Pennylane account, which distinguishes it from sibling invoice tools like pennylane_create_customer_invoice and pennylane_send_invoice. It does not explicitly name any sibling it is not, so it stops short of 5.

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?

Clearly explains the workflow split: this tool returns a step-by-step guide and 'opens nothing by itself', then the agent should use cotlet_browser_* tools to actually perform the upload. That is a real when-to-use and how-to-chain instruction. It lacks explicit when-not-to-use guidance, e.g. cases where an API path or a different upload tool is preferable.

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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