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DPRF Nada consta: Multas Pagas

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

A4.8/5.0
Behavior5/5

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

Even with annotations present, the description adds substantial non-obvious behavior: invoke runs uninstalled MCPs one-off, credential needs return a connect link, empty wallet returns a checkout/top-up link followed by retry, and install has a hidden 'one-off install behind invoke' effect. Nothing contradicts 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 well structured, moving from purpose to core flow, then key invoke behavior, install-vs-invoke guidance, permissions, and the prompt library. Each section earns its place for a multi-action tool, though some wording is redundant and the sentence about capability-request examples could be trimmed.

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?

For a highly complex 23-parameter dispatch tool with no output schema, the description covers the major contextual gaps: discovery flow, per-tool profile contents, one-off execution, auth and payment outcomes, permission requirements, billing action semantics, and the prompt library. It is genuinely complete for agent decision-making.

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 0% schema description coverage and 23 parameters, the description adds real meaning to the core action enum (search, describe, invoke, install, list_tools, etc.), tool_id, mcp_id, arguments, and prompt-related parameters. However, several parameters like limit, immediate, cancel_reason, and prompt_vars are not explicitly explained, so it does not fully compensate for the schema gap.

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 — the in-platform catalog of every MCP/tool, AND the way to run them,' which is a specific verb+resource statement. It also lays out the core search→describe→invoke flow, distinguishing it from sibling tools like authenticate or show_version.

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: 'prefer invoke for a single/occasional use' versus 'Use install only to make an MCP PERMANENT in the active toolkit,' and clarifies that 'list_tools lists what is callable right now.' It also states that writes require workspace owner/admin, which is critical selection context.

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

B3.1/5.0
Disambiguation2/5

The only domain tool, dprf_nada_consta_multas_pagas_consultar, is clearly distinct, but connect, toolkit_info, and marketplace overlap around connection status, installed tools, and dispatch. Their lengthy descriptions force careful reading and make tool selection ambiguous.

Naming Consistency2/5

Six tools use short English imperative verbs such as authenticate, connect, report_bug, and show_version, but the domain tool is a long Portuguese snake_case phrase ending in consultar. The set mixes languages, lengths, and verb placement with no consistent convention.

Tool Count2/5

Seven tools is not a large count, but six are generic platform utilities unrelated to the named DPRF 'Nada consta' service. The actual domain surface is a single consultation tool, so the count feels padded rather than purpose-scoped.

Completeness3/5

For a simple official-source query, the single consultation tool covers the core need and no CRUD lifecycle is expected. However, the server lacks any domain-specific supporting operations such as result history, formatting, or related consultation types, while the platform tools do not address that gap.