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matvei77

Maybe Finance MCP Server

by matvei77

analyze_csv

Analyze CSV content to identify column headers, data types, and structure before importing into Maybe Finance, ensuring data readiness for accurate financial management.

Instructions

Analyze CSV structure before import

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
csvContentYesCSV file content to analyze
Behavior2/5

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

With no annotations, the description carries full responsibility for disclosing behavioral traits. It merely says 'analyze CSV structure' and does not state whether the operation is read-only, what it returns, how malformed input is handled, or any side effects. This lack of transparency leaves the agent uncertain about the tool's behavior.

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 with no redundant wording. It is front-loaded with the core purpose and does not waste words.

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?

For a tool with no output schema and no annotations, the description should clarify what the analysis returns (e.g., column list, format validation, or error flags). The current description omits this critical information, leaving the agent unable to interpret the tool's result and decide whether to proceed with import.

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?

The input schema describes the only parameter csvContent as 'CSV file content to analyze', providing 100% coverage. The description adds minimal extra meaning by focusing on 'structure', which suggests format analysis rather than data analysis, but this is a minor addition.

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 clearly states the verb 'analyze' with the resource 'CSV structure' and adds temporal context 'before import'. This distinguishes it from the sibling tool import_csv and other tools, though it does not elaborate on what the analysis entails.

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?

The phrase 'before import' provides a clear contextual guideline for when to use this tool, implying it should precede import_csv. It does not mention alternatives or exclusions, but the temporal context is sufficient for a simple 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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