Skip to main content
Glama

buy_connect_status

Read-onlyIdempotent

Check the status of a hosted merchant login started with buy_connect. Returns linking (still in progress — call again in a few seconds), linked (success — the merchant is ready to shop), expired, or error. Pass the merchant and the pending_id from buy_connect. ONLY for logins started by the buy_connect tool: a login link handed out by the conversational buy tool has no pending_id — for those, reply to the same buy conversation ("done — I logged in") instead of calling this.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
merchantYesmerchant slug (e.g. doordash)
pending_idYesThe pending_id returned by buy_connect.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusNoConnect state: 'linking', 'linked', 'expired', or 'error'.
messageYesHuman-readable status / next step.
merchantNoThe merchant slug, present when linked.
cart_carried_overNoTrue when a cart built anonymously before linking was moved onto the linked account — re-show it (buy_view_cart) and re-confirm the total before checkout.

Schema Changelog

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

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already indicate safe, idempotent read. Description adds polling behavior and return states, 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.

Conciseness5/5

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

Three sentences, front-loaded with purpose, efficient and clear.

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 output schema exists and tool is simple, description covers all necessary context for correct usage.

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 description covers parameters fully (100%). Description restates that pending_id comes from buy_connect, providing marginal extra context beyond schema.

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?

Clearly states the tool checks the status of a hosted merchant login started with buy_connect, lists return values, and distinguishes from sibling tool 'buy'.

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?

Explicitly says when to use (after buy_connect) and when not to use (for logins from 'buy' tool), and provides alternative action.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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