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Caribooks (QuickBooks Online)

search purchase orders

search_purchase_orders
Read-only

Search purchase order records in QuickBooks Online. Results are full records with SyncToken, so no get is needed after; read several known Ids in one search with Id IN.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
companyNoWhich connected QuickBooks company to use (name, realm id, or connection id). Optional when only one company is connected.
criteriaNoCriteria accepts: an array of {field, value, operator} objects (operators: =, <, >, <=, >=, LIKE with % wildcards, IN), a simple {Field: value} object, or {criteria: [...], asc|desc: "Field", limit, offset, count}. Filters are ANDed; QuickBooks has no OR, cannot filter on Line fields, and only filters top-level fields (TxnDate, DocNumber, CustomerRef, VendorRef, Balance, TotalAmt, DueDate, MetaData.LastUpdatedTime, ...). Field names and values are case-sensitive as QuickBooks stores them. Government identifiers, birth dates and card-processing details are not available through these tools. One call returns one page of at most 1000 records, and a large page is truncated to fit the answer: narrow with filters or walk it with limit and offset rather than asking for everything. Omit to return the first page of all purchase_order records.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered. The description adds genuine behavioral value by disclosing that returned records are complete (with SyncToken), removing an anticipated follow-up call.

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

Conciseness5/5

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

Two tightly packed sentences; the resource is front-loaded and the two useful behaviors (full records, batch Id reads) follow immediately. No filler.

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?

With no output schema, the description usefully indicates what comes back (full purchase order records with SyncToken). Pagination and filtering limits live in the schema, so the summary is adequate, though it could hint at the 1000-record page limit.

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% and the criteria/operators guidance is already fully documented there. The description's 'Id IN' mention merely echoes the schema's IN operator, adding no syntax or semantics beyond it, so 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?

States a specific verb (Search) and resource (purchase order records in QuickBooks Online), and separates itself from get_purchase_order by noting results already carry SyncToken so no follow-up get is needed. It does not name the sibling directly, but the differentiation is inferable.

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?

Gives actionable context: use it for batch reads of known Ids via 'Id IN', and don't chain a get afterwards. It lacks explicit exclusions (e.g. when to prefer get_purchase_order for a single record), so it stops short of full when/when-not guidance.

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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