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Föreslå bankmatchning

propose_bank_match

Föreslå en bankmatchning: koppla en omatchad bankrad till en eller flera BEFINTLIGA kandidater (huvudboks-/reskontraposter). Får bara peka på befintliga id:n, hittar aldrig på belopp. LLM föreslår, människa godkänner. Kräver 'reconcile'. Argument: orgnr, year, month, bank_txn_id, target_ids (lista käll-id); valfritt reasoning, confidence, model, finding_ref.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearYes
modelNo
monthYes
orgnrYesBolagets organisationsnummer, 10 siffror med eller utan bindestreck, t.ex. 559900-1004. Hämta med list_companies.
reasoningNo
confidenceNo
target_idsYes
bank_txn_idYes
finding_refNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / orgnr / description
      Added value: +"Bolagets organisationsnummer, 10 siffror med eller utan bindestreck, t.ex. 559900-1004. Hämta med list_companies."
  2. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare non-readonly/non-destructive behavior; the description adds real value beyond them: it may only reference existing ids, never fabricates amounts, requires 'reconcile' authorization, and is a proposal subject to human approval. It doesn't cover what happens on rejection or prerequisite state.

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?

Dense but front-loaded: the core action and its key constraint ('only existing ids, never fabricates amounts') come first, followed by the approval/auth model and parameter listing. No filler sentences.

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?

For a proposal-style tool with no output schema and sparse schema descriptions, it covers the essential behavior, authorization requirement, and all parameter names. Missing only edge details such as what a successful proposal returns or how failures are surfaced.

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

Parameters4/5

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

With schema coverage at only 11%, the description carries the load by naming all nine arguments and clarifying that target_ids is a list of source ids and that reasoning/confidence/model/finding_ref are optional. It leaves year/month and bank_txn_id formats unspecified, but adds meaning well beyond the bare schema.

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?

States a precise verb (propose) and resource (bank match), plus the concrete operation: linking an unmatched bank row to one or more existing GL/subledger candidates. This distinguishes it cleanly from siblings like create_proposal or propose_voucher.

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

Usage Guidelines4/5

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

Gives clear context: it applies to unmatched bank rows, the LLM proposes and a human approves, and it requires the 'reconcile' permission. It does not explicitly name an alternative sibling or state when-not-to-use, so it falls short of a 5.

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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