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Glama

Banco PAN MCP

marketplace

The official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them. Covers capability requests like "find an MCP that does X", "consulta um CPF", "is there a tool for Y". Core flow: action=search discovers MCPs by intent → describe returns one MCP's full profile (every tool with its id + params, pricing, auth) so you pick the right tool_id → invoke RUNS that tool. KEY: invoke works even when the MCP is NOT installed — it runs the tool pontualmente (one-off), without adding the MCP to the toolkit and without bloating the tool list. If the MCP needs a credential/login, invoke returns a connect link; if it is paid and the wallet is empty, invoke returns a checkout/top-up link (the user opens it, then you retry). Use install only to make an MCP PERMANENT in the active toolkit (its tools then show up natively in future sessions); prefer invoke for a single/occasional use. list_tools lists what is callable right now. subscribe/cancel handle per-MCP billing; report_bug sends feedback; request_mcp asks us to build a NEW MCP when nothing fits. Search/describe flag installed_in_toolkit vs installed_in_workspace. Writes (install/uninstall/subscribe/cancel and the one-off install behind invoke) require workspace owner/admin. It also carries the mcp.ai PROMPT LIBRARY, which is about ready-made prompt TEXT rather than MCPs: search_prompts finds one, get_prompt returns its full text with {{variables}} filled, and publish_prompt saves a prompt and returns a shareable mcp.ai/p/ link that opens without login.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryNo
actionNosearch
mcp_idNo
messageNo
tool_idNo
argumentsNo{}
immediateNo
tier_slugNo
prompt_bodyNo
prompt_slugNo
prompt_toolNo
prompt_varsNo{}
conversationNo[]
prompt_titleNo
request_nameNo
cancel_reasonNo
cancel_commentNo
prompt_targetsNo
report_contextNo
prompt_categoryNo
request_detailsNo
prompt_descriptionNo

Schema Changelog

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

  1. Added
  2. Removed
  3. Changed9 schema fields changed
    • changedInput schema / properties / action / enum
      Previous value: -[
      -  "search",
      -  "describe",
      -  "install",
      -  "uninstall",
      -  "subscribe",
      -  "cancel",
      -  "resume",
      -  "report_bug",
      -  "request_mcp",
      -  "list_tools",
      -  "invoke"
      -]New value: +[
      +  "search",
      +  "describe",
      +  "install",
      +  "uninstall",
      +  "subscribe",
      +  "cancel",
      +  "resume",
      +  "report_bug",
      +  "request_mcp",
      +  "list_tools",
      +  "invoke",
      +  "search_prompts",
      +  "get_prompt",
      +  "publish_prompt"
      +]
    • addedInput schema / properties / prompt_body
      Added value: +{
      +  "default": "",
      +  "type": "string"
      +}
    • addedInput schema / properties / prompt_category
      Added value: +{
      +  "default": "",
      +  "type": "string"
      +}
    • addedInput schema / properties / prompt_description
      Added value: +{
      +  "default": "",
      +  "type": "string"
      +}
    • addedInput schema / properties / prompt_slug
      Added value: +{
      +  "default": "",
      +  "type": "string"
      +}
    • addedInput schema / properties / prompt_targets
      Added value: +{
      +  "default": [],
      +  "items": {
      +    "enum": [
      +      "claude",
      +      "chatgpt",
      +      "cursor",
      +      "lovable"
      +    ],
      +    "type": "string"
      +  },
      +  "type": "array"
      +}
    • addedInput schema / properties / prompt_title
      Added value: +{
      +  "default": "",
      +  "type": "string"
      +}
    • addedInput schema / properties / prompt_tool
      Added value: +{
      +  "default": "",
      +  "type": "string"
      +}
    • addedInput schema / properties / prompt_vars
      Added value: +{
      +  "default": "{}",
      +  "type": "string"
      +}
  4. Changed1 schema field changed
    • changedInput schema / properties / action / enum
      Previous value: -[
      -  "search",
      -  "describe",
      -  "install",
      -  "uninstall",
      -  "subscribe",
      -  "cancel",
      -  "report_bug",
      -  "request_mcp",
      -  "list_tools",
      -  "invoke"
      -]New value: +[
      +  "search",
      +  "describe",
      +  "install",
      +  "uninstall",
      +  "subscribe",
      +  "cancel",
      +  "resume",
      +  "report_bug",
      +  "request_mcp",
      +  "list_tools",
      +  "invoke"
      +]
  5. Changed2 schema fields changed
    • addedInput schema / properties / cancel_comment
      Added value: +{
      +  "default": "",
      +  "type": "string"
      +}
    • addedInput schema / properties / cancel_reason
      Added value: +{
      +  "enum": [
      +    "too_expensive",
      +    "missing_features",
      +    "switched_service",
      +    "unused",
      +    "customer_service",
      +    "too_complex",
      +    "low_quality",
      +    "other"
      +  ],
      +  "type": "string"
      +}
  6. Added
  7. Removed
  8. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Discloses side effects like the one-off install behind invoke without adding to toolkit, permission requirements (workspace owner/admin for writes), and conditional behavior for missing credentials/wallet. These go beyond annotations, which only note non-read-only and non-destructive.

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 well-structured, starting with the core function, then the flow, key behavioral caveats, and prompt library. Some sentences are long, but every sentence contributes meaningful guidance.

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?

For a tool with 14 actions and 23 parameters, the description covers the primary flows and edge cases like auth/payment well. However, it omits the 'resume' action and does not explain return structures or several params like immediate/tier_slug, so it is not fully complete.

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

Parameters2/5

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

With 0% schema description coverage, the description must define the parameters, but it only names the action values and high-level purpose of tool_id, leaving limit, query, prompt_* fields, immediate, tier_slug, etc. unexplained. This forces agents to guess about parameter formats and defaults.

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 it is the official mcp.ai marketplace and the way to run MCPs, enumerating the catalog and run capabilities. It distinguishes itself from sibling openfinance_* tools by being the in-platform catalog and execution engine, with a specific core flow (search → describe → invoke).

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 recommends invoke for single/occasional use and install for permanent additions, and notes when invoke returns connect/checkout links to retry. It also indicates search_prompts/get_prompt/publish_prompt for the prompt library, and request_mcp when nothing fits, providing clear context vs 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

A4/5.0
Disambiguation4/5

The tools are mostly distinct, covering authentication, marketplace navigation, Open Finance data retrieval (accounts, transactions, bills, loans, investments), and status/connector management. Some overlap exists between openfinance_list_transactions and openfinance_list_transactions_by_item (both return transactions, but the latter is a consolidated summary), which could cause momentary confusion, though descriptions clearly differentiate them.

Naming Consistency4/5

Tool names follow a clear pattern: 'openfinance_' prefix for Open Finance operations, with consistent verb_noun structure (list_accounts, get_account_balance, update_transaction_category). However, there are a few outliers like 'authenticate', 'connect', 'marketplace', 'report_bug', and 'show_version' that don't follow the Open Finance naming convention, though they serve different purposes and are still readable.

Tool Count4/5

With 25 tools, the count is slightly high but justifiable given the broad scope: the server covers Open Finance banking data (accounts, transactions, bills, loans, investments, connections), marketplace operations, and system utilities. Not all tools are used in every session, but each serves a distinct purpose, and the count remains manageable due to clear grouping.

Completeness4/5

The tool surface covers the core Open Finance lifecycle well: list and get accounts, transactions, bills, loans, investments, plus sync, reconnect, and category updates. It also includes connector search and provider status. Minor gaps exist, such as no explicit tool for updating or deleting a transaction category rule, and no direct CRUD for connections (only list and disconnect), but these are acceptable gaps.