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iseppo

e-arveldaja MCP Server

by iseppo

Compute Account Balance

compute_account_balance
Read-onlyIdempotent

Compute an account balance from journal postings, optionally filtered by client and date range.

Instructions

Compute account balance from journal postings with optional client/date filters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
freshNoClear cached API/reference data first.
date_toNoEnd date (YYYY-MM-DD)
date_fromNoStart date (YYYY-MM-DD)
account_idYesAccount id from list_accounts. In the RIK chart the id is the account number itself (e.g. 2110, 8900).
clients_idNoFilter by client ID
include_entriesNoInclude individual entries in response (default false)
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds no extra behavioral context (e.g., caching, performance implications, or what 'compute' entails beyond journal postings). With annotations present, the description is adequate but not value-adding.

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 a single, concise sentence that effectively communicates the core purpose. Every word earns its place, with no fluff or redundancy.

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?

Given the absence of an output schema, the description should clarify what the tool returns (e.g., a single balance figure, a structured object). It fails to provide this crucial context, leaving the agent uncertain about the response format. For a computation tool, this is a notable gap.

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 coverage is 100%, so all parameters are well-described in the schema. The description only reiterates the optional client/date filters, adding no new semantic context beyond what the schema already provides. Baseline 3 is appropriate.

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 uses a specific verb ('Compute') and resource ('account balance') with scope ('from journal postings with optional client/date filters'). It clearly distinguishes from sibling tools like compute_payables_aging and compute_account_dimension_balances.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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

The description does not provide any guidance on when to use this tool versus alternatives. It only states optional filters, but lacks context about prerequisites or exclusions. With many sibling compute tools, this omission is significant.

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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