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get_faq

Read-only

Look up AgentPay operational FAQ before guessing. Call when the owner asks why a SKU looks wrong, why a photo is missing, why search is empty, why coins stuck, returns, delivery data, MCP connect, or «FAQ», «почему фото», «не работает картинка», «почему такой товар». Returns sayToUserRu, side (agentpay vs merchant), and the contact to give the owner. Do not invent a reason. Do not hide whose side it is. 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
qYesOwner question or error phrase in Russian or English
storeIdNoOptional store UUID when the issue is about a shop
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

A4.6/5.0
Behavior5/5

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

Annotations already mark this as readOnly, non-destructive, and closed-world. The description goes beyond that by disclosing what the tool returns, how it handles sessionId-based authentication when AGENTPAY_API_KEY is required, and important behavioral guardrails such as 'Do not invent a reason' and 'Do not hide whose side it is.' This is exactly the kind of context that helps an agent use the tool safely.

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 dense but front-loaded with the core purpose, and every sentence carries guidance. The negative directives (never begin_agent_link, never web-search, etc.) add behavioral value although they could have been consolidated. Still, this is appropriately sized for the complex operational context it covers.

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?

There is no output schema, so the description correctly discloses the return contract: sayToUserRu, side, and contact. It also covers auth fallback for AGENTPAY_API_KEY, which is critical for Grok/ChatGPT/Claude connectors. For a read-only FAQ lookup tool, nothing essential is missing.

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 coverage is 100%, so the baseline is 3: the schema already thoroughly documents q, storeId, and sessionId. The description adds operational context around sessionId ('pass sessionId and retry'), but it doesn't materially add per-parameter meaning beyond what the schema provides. A 3 is appropriate because the schema does the heavy lifting.

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: 'Look up AgentPay operational FAQ before guessing.' It then lists concrete trigger questions and states the exact return fields (sayToUserRu, side, contact), making the tool's purpose unmistakable. This clearly distinguishes it from the sibling tools, none of which are described as a catch-all FAQ lookup.

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 gives explicit when-to-use guidance: 'Call when the owner asks why a SKU looks wrong...' and similar scenarios. It also provides strong exclusions: 'Never begin_agent_link again,' 'Never ask the owner to edit connector settings or reconnect,' and 'Never web-search.' This leaves no ambiguity about when this tool should be invoked versus alternatives.

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

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.