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mohisyed

jPOS MCP Server

by mohisyed

msg_build_message

Validate an ISO 8583 message field dictionary to check MTI validity, missing mandatory fields, value length violations, and reject real PANs for safety.

Instructions

Validate an ISO 8583 message field dictionary. Checks MTI validity, missing mandatory fields, value length violations, and potential real PANs (detected via Luhn algorithm — rejected for safety). Only test PANs (4111111111111111 etc.) are accepted.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldsYesDict mapping field number strings to values. Field "0" must be the MTI. Example: {"0": "0200", "2": "4111111111111111", "3": "000000"}

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description carries the full burden. It disclose key behaviors (rejects real PANs for safety via Luhn, checks MTI, mandatory fields, length). However, it does not describe what happens on failure or output format, which limits transparency.

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 concise (4 sentences) and front-loaded with the main purpose. Each sentence adds valuable detail without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the existence of an output schema, the description adequately covers the tool's validation criteria. It could elaborate on error behavior, but overall it provides sufficient context for a validation tool.

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 baseline is 3. The description does not add new parameter-specific meaning beyond the schema example; it explains the validation logic but not the parameter structure itself.

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 tool validates an ISO 8583 message field dictionary, with specific checks (MTI, mandatory fields, length, PANs). This distinguishes it from siblings like iso_decode_mti and iso_lookup_field, which have distinct purposes.

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 when to use the tool (for validation of field dictionaries) but does not explicitly state when not to use it or suggest alternatives. Context is clear but lacks exclusionary guidance.

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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