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vvitovec

ABRA Flexi MCP Server

by vvitovec

Get document detail

get_document_detail

Retrieve detailed information for any accounting document, including optional items, payments, accounting entries, and linked documents.

Instructions

Fetch one accounting document detail. Extra sections are opt-in.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
kindYes
companyNo
profileNo
include_itemsNo
include_linksNo
include_paymentsNo
include_accountingNo
Behavior3/5

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

No annotations provided, so the description must disclose behavior. It mentions that extra sections are opt-in, hinting at optional inclusion of items, links, payments, accounting. However, it does not describe return format, error conditions, or auth needs. The behavior is straightforward for a fetch operation.

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 sentences with no unnecessary words. Very concise and front-loaded.

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

Completeness2/5

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

With 8 parameters and no output schema, the description is too minimal. It does not explain the return value, how detail differs from summary, or how the opt-in sections affect the response. The description leaves significant gaps for an agent to infer.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must add meaning. It only explains the opt-in booleans via 'Extra sections are opt-in'. The required parameters id and kind, as well as company and profile, are left unexplained. The kind enum values are not described, leaving the agent unsure of their meaning.

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?

The description clearly states 'Fetch one accounting document detail', specifying the verb and resource. It distinguishes from siblings like get_document_summary and search_documents by focusing on a single document's detail.

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 description implies usage for retrieving a single document's detail, but provides no explicit guidance on when to use this tool versus alternatives (e.g., get_document_summary) or when not to use it.

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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