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e-arveldaja MCP Server

by iseppo

Analyze Unconfirmed Transactions

analyze_unconfirmed_transactions
Read-onlyIdempotent

Analyze unconfirmed bank transactions in read-only mode to detect duplicates, match invoices, identify own-account transfers, and spot expense patterns.

Instructions

Read-only analysis of unconfirmed bank transactions: duplicates, invoice matches, own-account transfers, and expense patterns.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
min_confidenceNoMinimum confidence for invoice matches 0-100 (default 40)
accounts_dimensions_idNoFilter to a specific bank account dimension ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.29.2
    • addedInput schema / additionalProperties
      Added value: +false
  2. Addedv0.25.3
  3. Removedv0.25.2
  4. First observedv0.18.1

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the 'read-only' phrasing is largely redundant. The description adds useful behavioral context by enumerating which analyses the tool actually runs, but it doesn't disclose what happens to unconfirmed transactions afterward or what the response contains.

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?

A single front-loaded sentence with the resource stated first and the operations enumerated compactly. Zero waste.

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?

With no output schema, the description should ideally convey what the agent receives back (a findings list, flagged items, etc.), and it only implies this through the enumerated analysis types. Combined with the missing usage guidance, the definition is adequate but not complete.

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 both parameters (min_confidence, accounts_dimensions_id) are fully documented in the schema. The description adds no meaning beyond that, so the baseline 3 applies.

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 names a clear verb (analyze) and resource (unconfirmed bank transactions) and enumerates the specific analyses performed (duplicates, invoice matches, own-account transfers, expense patterns). It is more specific than the raw name, though it does not differentiate itself from adjacent tools like classify_bank_transactions or reconcile_bank_transactions.

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?

There is no explicit when-to-use guidance, no prerequisites, and no mention of alternatives such as classify_bank_transactions or reconcile_bank_transactions. The agent must infer from the sibling list alone whether this is the right tool.

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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