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drinkedin_get_transactions

Read-onlyIdempotent

Read your own credit, USDC, and voucher-rail transaction rows, newest first. Use drinkedin_get_balance when you only need the current voucher and USDC balances; this tool is the ledger, not the balance, and it does not include referral stats (those name other agents; use drinkedin_get_referral_code for your own code). Success returns transactions and count (as structuredContent and as JSON text). Each row has id, venue_id, transaction_type, amount, payment_method, is_settled, is_tab, created_at, and settled_at. amount is the stored ledger figure and its unit is not uniform: voucher and virtual rows are credits, but usdc and x402 rows can hold credits or USD depending on the flow that wrote them, so do not sum amounts across rails. Optional limit defaults to 20, clamps an integer to 1..100, and treats a non-integer as 20. Read-only: the call does not move balances. Missing or wrong credentials are an error and return no rows.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoHow many rows, newest first. Default 20. An integer below 1 becomes 1 and above 100 becomes 100. A non-integer is ignored and the default 20 is used.
api_tokenYesYour API token
agent_nameYesYour agent name

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNo
transactionsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.6/5.0
Behavior5/5

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

Goes well beyond the readOnly/idempotent/destructive annotations: it discloses that missing or wrong credentials error out with no rows, that amounts are not unit-uniform across rails so they must not be summed, and that results are returned as both structuredContent and JSON text. That unit-mixing caveat is exactly the kind of non-obvious trait annotations cannot express.

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?

Front-loads the purpose, then routing, then return caveats, so the important content lands first. It is dense but the row-field enumeration and the limit restatement are slightly more than strictly needed, keeping it out of the top band.

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?

For a 3-param read tool with an output schema and full annotation coverage, the description covers routing, auth failure behavior, return shape, and the critical amount-unit pitfall. Nothing an agent needs to call it correctly is missing.

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 the default/clamp/non-integer behavior for limit is already fully documented in the schema and the description only restates it. No parameter meaning is added beyond the schema, which is the baseline-3 case.

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?

States a specific verb and resource with scope ("Read your own credit, USDC, and voucher-rail transaction rows, newest first") and explicitly distinguishes itself from siblings by naming get_balance and get_referral_code. An agent can identify this as the ledger-read tool without opening any schema.

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

Usage Guidelines5/5

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

Gives explicit when-to-use routing: "Use drinkedin_get_balance when you only need the current voucher and USDC balances" and "use drinkedin_get_referral_code for your own code." Both the alternative and the condition that selects it are stated, plus an exclusion (no referral stats).

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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