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Caribooks (QuickBooks Online)

search terms

search_terms
Read-only

Search term 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. Inactive records are left out unless Active is filtered explicitly (Active: false, or Active IN (true, false) for both). Omit to return the first page of all term records.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds genuinely non-obvious behavior: results come back as complete records including SyncToken, so no follow-up fetch is required, and batch reads via Id IN are supported.

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 tight sentences, purpose front-loaded, zero filler. Every clause carries information an agent can act on.

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 helpfully states what comes back (full records with SyncToken) and how to batch-read. Pagination and truncation behavior live in the schema, which is acceptable, though a brief nod to paging in the description would have made it fully self-sufficient.

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 parameter is documented exhaustively (operators, AND-ing, case sensitivity, pagination, inactive-record handling). The description contributes only a single usage idiom ('Id IN'), so the baseline 3 is appropriate.

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+resource ('Search term records in QuickBooks Online'), which cleanly separates it from the create_term/update_term/get_term siblings by naming the Term resource. It does not explicitly contrast itself with get_term, but the resource scope 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 Guidelines3/5

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

It implies a usage pattern ('read several known Ids in one search with Id IN') and hints that a follow-up get is unnecessary, which is useful context. However, it never explicitly says when to prefer search_terms over get_term, nor any exclusions or prerequisites, so usage is only implied.

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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