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PEP Estendida (Parentescos)

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?

Annotations only provide generic hints (readOnlyHint=false, idempotentHint=false, destructiveHint=false). The description adds significant context: 'invoke works even when the MCP is NOT installed — it runs the tool pontualmente (one-off)', 'If the MCP needs a credential/login, invoke returns a connect link', and 'Writes... require workspace owner/admin.' This goes well 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.

Conciseness5/5

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

The description is long but logically structured: what it is, core search/describe/invoke flow, the KEY invoke distinction, install vs invoke, other actions, prompt library, and permissions. Every sentence contributes useful information without padding.

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?

Given 23 params, 14 enum actions, and no output schema, the description covers the major flows, permissions, and behavioral nuances but omits the 'resume' action and several params (immediate, tier_slug, cancel_reason, prompt_targets, etc.). It is comprehensive for core usage but not exhaustive.

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 params and 0% schema description coverage, the description carries the burden. It adds meaning to key parameters: action (search/describe/invoke/install...), mcp_id, tool_id, arguments, and prompt_slug/vars through the explained flows. However, many params (limit, query, immediate, tier_slug, cancel_reason, etc.) are not covered, so it does not fully compensate.

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 opens with 'The official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them,' clearly defining the tool's purpose. It further explains the core search/describe/invoke flow and the prompt library, distinguishing this tool from siblings like authenticate and report_bug.

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?

Explicit guidance is given: 'Use install only to make an MCP PERMANENT in the active toolkit... prefer invoke for a single/occasional use.' The description also outlines when to use search vs describe vs invoke, and mentions subscribe/cancel, report_bug, request_mcp, and list_tools, providing clear when-to-use direction.

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
Disambiguation4/5

Most tools have clearly distinct purposes: auth handles login, connect reports connection status, marketplace manages the MCP catalog, pep_parentescos_consultar performs the domain query, and the rest are utility/feedback/version tools. However, connect and toolkit_info both provide connection/status information, which could cause an agent to select the wrong one.

Naming Consistency3/5

Naming style is mixed: some tools are single verbs (authenticate, connect), some are verb_noun (report_bug, show_version), some are nouns (marketplace, toolkit_info), and the domain tool uses a different convention (pep_parentescos_consultar). Although all are lowercase with underscores, the lack of a consistent verb/noun pattern reduces predictability.

Tool Count3/5

Seven tools is within the typical range, but the server's declared domain (PEP parentescos) is covered by only one tool; the rest are platform-level utilities (auth, marketplace, version, etc.). This makes the tool count feel inflated relative to the domain purpose, though it is not extreme.

Completeness4/5

The domain tool provides the core capability (PEP/relationship check via CPF) and is backed by platform tools for authentication, payment, and status. There are no obvious dead ends, though there is no consult history or batch operation, which would be minor enhancements.