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pablixnieto2

ETL-D MCP Server

by pablixnieto2

categorize_item_v1_enrich_categorize_post

Predict the accounting or expense category for a transaction by analyzing its concept and amount. Use for quick, lightweight categorization without full accounting codes.

Instructions

Analyzes transaction concepts and amounts to predict the most likely accounting or expense category.

Cost: 1 credit per request.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
amountNo
conceptYesThe transaction concept. USE THIS TOOL for quick, lightweight expense categorization without full accounting codes. NEGATIVE CONSTRAINT: DO NOT use for legal or medical diagnosis. It is strictly for general-purpose expense and concept grouping.
Behavior2/5

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

Annotations are not provided, so the description must disclose behavioral traits. It only mentions 'Cost: 1 credit per request', which is informative but minimal. It does not disclose whether the operation is read-only, what the response format is, or any side effects. The burden is not met.

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 two sentences, front-loaded with the main purpose, followed by cost information. It is concise and avoids redundancy. However, it lacks structure like usage examples or parameter breakdown, but for its length it is well composed.

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?

The tool is simple with two parameters, but the description does not explain what the output looks like, any constraints on inputs, or expected behavior. It lacks context needed for an agent to call it correctly without external knowledge. Cost is mentioned but not return format or edge cases.

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?

The description mentions 'transaction concepts and amounts' but does not elaborate on the meaning or validity of the 'amount' parameter. Schema coverage is only 50% (only 'concept' has a description), and the description does not compensate for the undocumented 'amount' field. It adds minimal value beyond the schema.

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 states a specific action ('analyzes transaction concepts and amounts') and a clear outcome ('predict the most likely accounting or expense category'). This is a distinct purpose, but it does not explicitly differentiate from likely similar tools like accounting_map_endpoint_v1_finance_accounting_map_post, which may also involve accounting categorization.

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?

No guidance is given on when to use this tool versus alternatives. The description only mentions the cost and the core function. It does not state prerequisites, exclusions, or when to prefer another endpoint. The schema description for 'concept' contains a usage hint, but that is not part of the tool description itself.

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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