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Análise de Crédito PF

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?

Discloses key behaviors beyond annotations: invoke runs tools even when not installed, does not bloat the tool list, returns connect/checkout links when needed, requires workspace owner/admin for writes, and prompt links open without login. This is far richer than the generic readOnlyHint/openWorldHint flags and adds actionable behavioral context.

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 and information-rich, covering the main flow, special invoke behavior, billing, permissions, and the prompt library. Every sentence adds value, but the single-paragraph structure could benefit from bullet points or short sections to improve scannability for such a multi-action tool.

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?

Given the tool's complexity (14 actions, 23 params, no output schema), the description is remarkably complete: it explains the core discovery/running cycle, special invoke semantics, install vs invoke, list_tools, billing actions, bug reporting, MCP requests, and the prompt library, including permission and login implications.

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?

The description explains the core parameters through the flow narrative (action, tool_id, mcp_id, prompt_slug/prompt_vars implied) and covers the main action branches. However, with 23 parameters and 0% schema description coverage, it does not individually clarify lesser-used ones like immediate, cancel_comment, request_details, or prompt_targets, leaving some reliance on parameter names.

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, a catalog and runtime for MCPs, with a concrete search→describe→invoke flow. It distinguishes itself from sibling tools by positioning itself as the meta-tool that discovers and runs others, not a specific domain action.

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?

Provides explicit decision guidance: 'prefer invoke for a single/occasional use' vs 'Use install only to make an MCP PERMANENT', plus when to use search/describe/list_tools. It also explains when invoke returns connect/checkout links and to retry afterward, and notes owner/admin requirements for writes.

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

A3.8/5.0
Disambiguation5/5

Each tool has a clearly distinct role: authentication, connectivity status, credit consultation, MCP catalog, bug reporting, version info, and toolkit state. Even though authenticate and connect both deal with access, their functions are separate and unambiguous.

Naming Consistency2/5

Tool names are inconsistent: single-word verbs (authenticate, connect), a noun (marketplace), and underscore-separated compounds with varying patterns (credito_pf_consultar, report_bug, show_version, toolkit_info). There is no uniform verb_noun or noun_verb convention.

Tool Count2/5

While seven tools is not excessive, the count is inappropriate for the server's stated purpose of credit analysis. Six of the seven tools are generic platform utilities (auth, connect, marketplace, bug reporting, version, toolkit state) that dilute the domain-specific focus. Only one tool actually performs credit analysis.

Completeness3/5

The core credit consultation operation is covered by credito_pf_consultar, but there are no additional credit-domain operations. The rest of the tools are platform-level, not domain-specific. The surface feels thin for a server named 'Análise de Crédito PF', leaving no further credit-related capabilities.