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remotenodelabs

CapyParse MCP Server

get_conversion_result

Fetch verified transaction data from a completed PDF bank statement conversion. Supports Markdown, JSON, CSV, or JSONL output with optional source citations.

Instructions

Fetch the converted transactions for a completed conversion. format: markdown (default, ready-to-read tables), json (signed amounts: deposits positive / withdrawals negative), csv, or jsonl. provenance: none | summary (default — page/line citations, verbatim source text, verification status per row) | full (adds per-field sources).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNomarkdown
accountNoAccount index for multi-account statements
provenanceNosummary
conversion_idYes
Behavior3/5

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

No annotations provided; description adds context on format and provenance options, but does not disclose read-only nature, authentication needs, or response structure (e.g., list/object, size limits).

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 concise sentences front-loading the main purpose, followed by details on format and provenance. No fluff.

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 and 4 parameters (only 1 described in schema), the description adds format and provenance details but lacks information on return structure, pagination, or error handling.

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 only 25% (account described). Description explains format and provenance enum values with specific details, adding value beyond schema. However, conversion_id lacks description, and account minimum is not explained.

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 the verb 'Fetch' and the resource 'converted transactions for a completed conversion'. It distinguishes from sibling tools like get_conversion (likely metadata) and convert_bank_statement (initiation).

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 after conversion completion but does not explicitly state when or compare to alternatives. No exclusion criteria or prerequisites are mentioned.

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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