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submit_user_info

Submit the user's phone number and terms acceptance for a virtual card. Call this after create_card returns user_info_required. Do NOT ask the user for occupation, income, or account purpose — those are never asked. Identity fields (name, date of birth, SSN / national ID, address) belong to the KYC flow: create_card tells you whether it runs conversationally (start_kyc → ID photo → face scan) or via a hosted verification_url. After phone + terms are saved, retry create_card.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
phone_numberYesUser's phone number in international E.164 format with a country code (e.g. +1 555 123 4567, +44 7911 123456)
terms_acceptedYesMust be true — the user accepted the AgentCard cardholder terms of service

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusNoOutcome of the submission: 'saved' when the user information was stored successfully.
messageYesHuman-readable confirmation that the user information was saved.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations indicate this is a mutation (readOnlyHint=false) but not destructive. The description correctly implies a write operation and explains the expected outcome (saves data then retry). No contradictions.

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 a single coherent paragraph with no redundancy. It efficiently conveys purpose, usage, and exclusions. Could be slightly more structured but is well-organized.

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

Completeness5/5

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

Given the complexity of the sibling tools and the orchestration context, the description thoroughly explains the tool's role in the broader flow, including post-submission actions and limits on user prompts.

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 already provides full coverage with descriptions for both parameters (phone_number format, terms_accepted must be true). The description does not add significant new semantic details beyond the schema, though it contextualizes them within the workflow.

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 identifies the tool's purpose: submitting phone number and terms acceptance for a virtual card. It distinguishes this from other flows like KYC and explicitly ties it to the create_card workflow.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit when-to-use guidance: call after create_card returns user_info_required. Also states what not to ask (occupation, income, etc.) and what to do after submitting (retry create_card).

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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TDQS

A3.9/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, especially in areas like card management and shopping. However, the KYC flow has multiple overlapping tools (start_kyc, get_kyc_status, check_kyc_document, submit_kyc_document, submit_kyc_fields) that could confuse an agent despite detailed descriptions.

Naming Consistency4/5

Tool names consistently use snake_case with a verb_noun pattern (e.g., add_funds, create_card, list_cards). A few exceptions like surprise_me and whoami break the pattern but are still intuitive overall.

Tool Count3/5

50 tools is on the high side for a single server, but the broad domain (cards, shopping, KYC, support, settings) partially justifies it. Some tools could be merged (e.g., KYC flow tools) without losing clarity.

Completeness4/5

The tool surface covers core workflows: CRUD for cards, transactions, KYC, support, shopping, and account management. Minor gaps exist (e.g., no update_card general, no cancel order in shopping), but overall the set is comprehensive for the stated purpose.

Resources