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Nextesy MCP

get_customer_subledger

Fixed JSON GET /api/v1/accounting/subledgers/customer/entries. Explicit company required. Flat query fields; see describe_nextesy_operation for filters.

Input Schema

NameRequiredDescriptionDefault
queryNo
company_nameYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, but the `GET` method signals a read-only operation and 'Fixed JSON' indicates the response format. It also discloses the company requirement, though it omits pagination, authentication expectations, and error behavior.

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?

The description is three short, front-loaded sentences with no filler. The endpoint, company requirement, and query/filter guidance are each stated directly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The output schema covers return values and the description points to a discovery tool for filters, so it is minimally sufficient for calling. Still, for a free-form query tool with no annotations, it lacks pagination and filter-shape detail that would make it fully self-contained.

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 0%, so the description must compensate. It clarifies that `company_name` is explicit and that `query` uses flat query fields, directing the agent to `describe_nextesy_operation` for filter details, but it does not enumerate query fields or syntax.

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 identifies the resource via the concrete endpoint `/api/v1/accounting/subledgers/customer/entries`, making it clear this retrieves customer subledger entries. It distinguishes itself from the supplier subledger by the `customer` path segment, though it does not explicitly name the sibling alternative.

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 states a key prerequisite, 'Explicit company required,' and points to `describe_nextesy_operation` for filter discovery. However, it does not explicitly say when to use this tool versus alternatives such as `get_supplier_subledger` or `get_account_statement_entries`.

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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