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TradePilot Agent Commerce

CSV and JSON table converter

tradepilot_service_csv_table_convert
Destructive

Convert comma/tab-delimited quoted CSV to JSON string rows or JSON string rows to CSV. Preserves string values, duplicate headers and ragged rows; no type inference. CSV output escapes spreadsheet formula starters by default and reports alterations. Maximum 500 rows and 50 columns. Price: 0.01 USD. Payment requires explicit wallet authorization.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYes
result_expiresNo
idempotency_keyNo
result_signatureNo
payment_signatureNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Even though annotations already mark readOnlyHint false and destructiveHint true, the description adds valuable behavioral detail: preservation of string values/duplicate headers/ragged rows, no type inference, default spreadsheet-formula escaping with alteration reports, maximum rows/columns, and explicit payment authorization requirement. These go beyond the annotations and help anticipate side effects and prerequisites.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise: four sentences, each adding distinct value (conversion purpose, data-handling behavior, limits, and commercial terms). The core function is front-loaded, and there is no redundant or filler text.

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?

This is a paid, state-changing tool with a nested input object and five parameters, yet the description omits how payment authorization works, the role of result_expires/idempotency_key/result_signature, and the exact output structure. The limits and payment requirement are useful, but the definition is not complete enough for an agent to call the tool correctly without further investigation.

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

Parameters2/5

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

With schema description coverage at 0%, the description must compensate, but it only implicitly references delimiter and spreadsheet_safe. It does not explain the purpose or format of payment_signature, idempotency_key, result_expires, or result_signature, which are non-obvious for a conversion tool and critical for correct invocation.

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 states a specific verb ('convert') with a clear resource (CSV/JSON string rows) and both directions (csv_to_json and json_to_csv). It further distinguishes itself by detailing behavior such as preserving duplicate headers, ragged rows, and no type inference, which separates it from extraction or validation siblings.

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 guidance on when to use this tool versus alternatives, and no sibling tool is named as a substitute. The description provides capabilities and constraints (row/column limits, payment) but leaves the agent to infer use cases from the purpose alone.

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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