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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

TDQS

A4.5/5.0
Behavior5/5

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

The description discloses important behavioral details beyond annotations: invoke runs tools without installing them, install makes MCPs permanent, auth failures return connect links, and payment failures return checkout links. This adds substantial transparency beyond the annotations.

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 long but information-dense; every sentence adds value. It is logically organized from core flow to install vs invoke to prompt library, though a single dense paragraph could benefit from bullet points or more distinct sections.

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 complex tool with many actions, the description covers the core flow, billing, admin requirements, and prompt library well. It misses a few details like the resume action, the immediate parameter, and the full set of return values, but overall it is quite complete.

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?

With 23 parameters and 0% schema coverage, the description carries a heavy burden. It does explain the action parameter and implies tool_id and prompt variables, but many parameters (limit, query, arguments, immediate, prompt_*, cancel_reason) are not described. The core flow is clarified, but not every parameter's semantics.

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 as the official mcp.ai marketplace and explains its dual role as a catalog and execution engine. It explicitly distinguishes this tool from sibling openfinance and auth tools by describing the core flow of 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?

The description provides explicit when-to-use guidance: prefer invoke for one-off runs, use install for permanent toolkit additions, and use search/describe for discovery. It also notes that writes require workspace owner/admin and explains the retry flow for connect/checkout links.

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
Disambiguation3/5

Most openfinance_* tools target distinct resource/action pairs, but there is real overlap among list_accounts, get_accounts_detail, and get_account_balance, as well as between list_transactions and list_transactions_by_item, and between get_credit_card_bill and list_credit_card_bills. The descriptions are detailed enough to usually resolve ambiguity, but the number of near-overlapping read/status tools makes mis-selection plausible.

Naming Consistency4/5

The 21 openfinance_* tools follow a clear openfinance_<verb>_<noun> convention with predictable verbs like list, get, update, force, disconnect, and search. The non-prefixed platform tools (authenticate, connect, marketlace, report_bug, show_version, toolkit_info) break the pattern but are few enough to keep the naming mostly coherent.

Tool Count3/5

25 tools is at the heavy end for the stated banking domain, and several could reasonably be merged: get_account_balance/get_accounts_detail/list_accounts and list_transactions/list_transactions_by_item overlap in purpose. The breadth of resources covered accounts, cards, loans, investments, connections, and provider health helps justify the count, but it still feels slightly bloated.

Completeness5/5

The Open Finance workflow is thoroughly covered: connect discover, force sync, status checks, accounts, balances, transactions, credit-card bills, loans, investments, category correction, disconnection, and provider health. Edge cases like stale data, consent errors, provider incidents, and cross-connector asymmetries are explicitly handled, leaving no obvious dead ends for an agent.