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Receita PJ QSA + Participação

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. First observed

TDQS

A4.7/5.0
Behavior5/5

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

The description goes far beyond the annotations by disclosing side effects: invoke runs a tool without adding it to the toolkit, install makes it permanent, writes require workspace owner/admin, and payment/credential flows return connect/checkout links. The openWorldHint and readOnlyHint are consistent with the described behavior; 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.

Conciseness4/5

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

The description is long but well-structured with a core flow and a KEY callout. Each sentence adds meaningful context about capabilities, usage, or side effects. Minor stylistic quirks (e.g., 'pontualmente') and emphasis capitalization slightly affect polish, but the density is justified given the tool's complexity.

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 hub tool with 14 actions, 23 parameters, and no output schema, the description is remarkably complete. It covers discovery, execution, installation, billing, permissions, and the prompt library. It omits only minor details (e.g., the exact semantics of action 'resume') and does not describe return structures, but it is far more complete than typical.

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?

With 23 parameters and 0% schema coverage, the description carries heavy responsibility. It explains the pivotal action enum, mcp_id, tool_id, arguments, and prompt-related parameters. However, several parameters like cancel_reason, immediate, report_context, and conversation are not explicitly described, though their names and enums provide some inference.

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 marketplace as the official in-platform catalog of MCPs/tools and the way to run them. It enumerates the core actions (search, describe, invoke, install, prompt library) and distinguishes itself from sibling tools like authenticate, connect, and receita_pj_qsa_consultar by scope and function.

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?

Excellent usage guidance: it explicitly says when to use invoke vs install (prefer invoke for one-off, install for permanent), when to use search/describe, list_tools, subscribe/cancel, report_bug, and request_mcp. It also explains edge cases like credential/connect links and checkout flows, leaving little ambiguity about tool selection.

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

A3.6/5.0
Disambiguation5/5

Each tool has a distinct purpose: authentication, connection status, marketplace operations, the QSA consultation, bug reporting, version info, and toolkit state. There is no ambiguity between them.

Naming Consistency2/5

Names mix languages (English vs. Portuguese) and conventions: verbs (connect, authenticate), nouns (marketplace, toolkit_info), and verb_noun (report_bug, show_version, receita_pj_qsa_consultar). No consistent pattern is followed.

Tool Count2/5

Seven tools is a reasonable number, but the majority are generic platform utilities unrelated to the server's stated domain of 'Receita PJ QSA + Participação'. The set feels bloated with infrastructure controls rather than focused on its purpose.

Completeness1/5

The domain is served by only a single tool (receita_pj_qsa_consultar). There are no other operations like listing, pagination, or historical data, leaving the surface severely incomplete for a dedicated company data server.