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customer_statement

One customer's open items + totals (the aging row's drill-down).

as_of mirrors GET …/ar/aging — set, it reconstructs the items open at that date so the statement agrees with a historical aging report.

Input Schema

NameRequiredDescriptionDefault
as_ofNo
company_idYes
counterparty_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses the key behavioral trait that `as_of` reconstructs historically-open items so results agree with a historical aging report, and it implies a read operation. But it omits auth/permission requirements, pagination, and confirmation that the operation is non-mutating.

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?

Two short passages with the core identity front-loaded and the `as_of` nuance following. Efficient, though the heavy backtick/typographic formatting adds noise without adding meaning.

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?

For a read tool with no output schema and no annotations, the description conveys what comes back ('open items + totals') and the `as_of` semantics. It stops short of describing the totals' composition, result shape, or limits, leaving modest gaps for a financial drill-down tool.

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 compensation is required. The description explains the one non-obvious parameter, `as_of`, in real depth (historical reconstruction semantics, parity with the aging endpoint), but leaves `company_id` and `counterparty_id` purely reliant on self-explanatory names.

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 states a specific resource and scope: 'One customer's open items + totals', and frames it as 'the aging row's drill-down', which lets an agent distinguish it from broader statement/report siblings. It is a noun phrase rather than a verb+resource, but the returned content 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?

The parenthetical 'the aging row's drill-down' implies when to reach for it (drilling into a customer's aging row), which is useful contextual usage guidance. However, it names no alternative sibling and no explicit when-not condition, so the routing signal remains implicit.

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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