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Glama

AgentPay (Russia)

by io.github.zapnikita95

verify_connection

Finish AgentPay connect after browser Разрешить. Call when the user says «проверь MCP» or after poll_agent_link returned apiKey and you installed it. Pairing code is optional. If NEED_BROWSER_GRANT, open recovery.openUrl (VPN) and also give recovery.openUrlRu (без VPN). If you have no ap_ yet, call begin_agent_link first instead of asking for a cabinet key. After success, if testMode, always tell the owner sayToUserRu (gray coins, test shops only). Do not invent a code. Do not spend until granted. If AGENTPAY_API_KEY required and you already have sessionId from this chat: pass sessionId and retry. Never begin_agent_link again. Never ask the owner to edit connector settings or reconnect. Never web-search.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeNoOptional 6-character pairing code from the AgentPay cabinet
sessionIdNoOptional. Agent-link sessionId from begin_agent_link / poll_agent_link. Pass on every tool when connector has no Authorization Bearer (Grok/ChatGPT/Claude). After status=approved this authenticates as als_<sessionId>. Never invent a sessionId. Never ask the owner to open Authorization settings (Grok has none).

Schema Changelog

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

  1. Changed1 schema field changed
    • addedInput schema / properties / sessionId
      Added value: +{
+  "description": "Optional. Agent-link sessionId from begin_agent_link / poll_agent_link. Pass on every tool when connector has no Authorization Bearer (Grok/ChatGPT/Claude). After status=approved this authenticates as als_<sessionId>. Never invent a sessionId. Never ask the owner to open Authorization settings (Grok has none).",
+  "type": "string"
+}
  2. Changed1 schema field changed
    • removedInput schema / properties / sessionId
      Removed value: -{
-  "description": "Optional. Agent-link sessionId from begin_agent_link / poll_agent_link. Pass on every tool when connector has no Authorization Bearer (Grok/ChatGPT/Claude). After status=approved this authenticates as als_<sessionId>. Never invent a sessionId. Never ask the owner to open Authorization settings (Grok has none).",
-  "type": "string"
-}
  3. Changed1 schema field changed
    • changedInput schema / properties / sessionId / description
      Previous value: -"Optional. Agent-link sessionId from begin_agent_link / poll_agent_link. Pass on every tool when connector has no Authorization Bearer (Grok/ChatGPT/Claude). After status=approved this authenticates as als_<sessionId>. Never invent a sessionId. Never ask the owner to reconnect."New value: +"Optional. Agent-link sessionId from begin_agent_link / poll_agent_link. Pass on every tool when connector has no Authorization Bearer (Grok/ChatGPT/Claude). After status=approved this authenticates as als_<sessionId>. Never invent a sessionId. Never ask the owner to open Authorization settings (Grok has none)."
  4. Changed1 schema field changed
    • addedInput schema / properties / sessionId
      Added value: +{
+  "description": "Optional. Agent-link sessionId from begin_agent_link / poll_agent_link. Pass on every tool when connector has no Authorization Bearer (Grok/ChatGPT/Claude). After status=approved this authenticates as als_<sessionId>. Never invent a sessionId. Never ask the owner to reconnect.",
+  "type": "string"
+}
  5. First observed

TDQS

A4.4/5.0
Behavior5/5

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

The annotations are minimal, so the description carries the behavioral burden. It discloses authentication requirements (browser grant, VPN/non-VPN URLs), retrying with sessionId, the testMode messaging rule, and critical constraints like not inventing a code and not spending until granted. This goes well beyond the structured annotations.

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

Conciseness2/5

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

The description is a dense, unstructured wall of imperative instructions with mixed languages and abbreviated internal terms ('ap_', 'sayToUserRu'). It is front-loaded with the main purpose, but the many prohibitions and conditional branches become hard to parse, and some instructions appear contradictory on first read ('call begin_agent_link first' vs 'Never begin_agent_link again').

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

Completeness3/5

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

For a highly conditional tool with no output schema, the description covers many branches and restrictions well. However, it never states what the tool returns on success or failure or how the agent recognizes success beyond the phrase 'After success'. Given the complexity and missing output schema, that is a significant gap.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3. The description adds useful parameter-selection context beyond the schema: the pairing code is optional, and sessionId should be passed when AGENTPAY_API_KEY is required and a sessionId already exists from the chat.

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 opens with a specific verb+resource ('Finish AgentPay connect') and immediately gives the trigger conditions: after browser approval, when the user says «проверь MCP», or after poll_agent_link returned apiKey. This clearly distinguishes it from the sibling tools begin_agent_link and poll_agent_link.

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?

The description explicitly states when to call the tool, when to call begin_agent_link instead, and what to do in branch conditions like NEED_BROWSER_GRANT and AGENTPAY_API_KEY required. It also gives exclusions and prohibitions, such as never asking the owner to edit connector settings and never beginning AgentPay link again after the key is installed.

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

All AgentPay (Russia) toolsInspect
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TDQS

A4.4/5.0
Disambiguation4/5

Most tools target a distinct resource or action—get_* tools for financial/status lookups, search/get_product for catalog access, create_purchase for buying—but a few pairs share triggers. peek_stores and search_products can be triggered by the same phrases, and get_faq vs get_recovery_guide both address failure/error explanations, relying on the long descriptions to differentiate them.

Naming Consistency5/5

Tool names follow a consistent verb_noun snake_case pattern: get_* for read operations, create_/save_/update_/set_ for mutations, list_* for collection queries, and begin_/poll_/verify_ for the connection flow. No mixed casing or arbitrary verb variance is present.

Tool Count3/5

26 tools is on the heavy side, especially for a payment/shopping MCP server. While the domain is broad—auth, wallet, catalog, preferences, policies, purchases, recovery—some tools could be consolidated (e.g., peek_stores/search_products, get_faq/get_recovery_guide) without losing clarity.

Completeness4/5

The tool surface covers the full shopping/payment lifecycle: discovery, search, comparison, purchase, payment status, top-up, balance, limits, spending policy, address management, and connection recovery. Minor gaps exist—no explicit refund/cancel purchase tool and no preference deletion—but these can be worked around or are intentionally absent.

Resources