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CGU (Controladoria Geral da União)

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

A4.3/5.0
Behavior5/5

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

Beyond the annotations, the description discloses important behaviors: invoke works even when the MCP is not installed, one-off installs do not bloat the toolkit, auth/payment failures return connect or checkout links that require retry, and writes require owner/admin. It also explains installed_in_toolkit vs installed_in_workspace flags and the prompt library's login-free share links, adding substantial non-obvious 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 lengthy, but this is largely justified by the tool's 14 distinct actions and complex invoke/install distinction. It is organized by core flow, key behavior, usage preference, auth, and prompt library, and almost every sentence adds needed information; a little repetition and the single long paragraph prevent a perfect score.

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 the tool's high complexity, 23 parameters, and no output schema, the description covers the essential workflow, auth/ownership requirements, billing interactions, retry logic, and the prompt library sub-system. It does not fully specify return value shapes for search/list_tools or detail all parameter combinations, but it provides enough context for a capable agent to navigate the tool.

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 0% schema coverage, the description carries significant burden and does clarify the meaning of action, mcp_id/tool_id, invoke behavior, and prompt-related parameters. However, many parameters remain unexplained—limit, immediate, tier_slug, cancel_reason, cancel_comment, conversation, request_details, prompt_targets, and several others—leaving gaps an agent would need to guess at.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

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 MCP/tool catalog and execution runner, with a core search → describe → invoke flow plus prompt library functions. It distinguishes itself from siblings by naming the platform and explaining its unique multi-action role, though the purpose is spread across many actions rather than a single verb+resource.

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 guidance: prefer invoke for one-off use, use install only when permanent toolkit membership is desired, use request_mcp when nothing fits, and use list_tools to see what is callable now. It also states when writes require owner/admin and how credentials/payment link flows work, making alternatives and conditions clear.

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

A3.7/5.0
Disambiguation4/5

Most tools have clearly distinct purposes (auth, query, status, feedback, version, toolkit state). However, marketplace is a mega-tool that includes report_bug functionality, creating some overlap with the dedicated report_bug tool, and connect/toolkit_info both relate to connection status.

Naming Consistency2/5

Naming is inconsistent: camelCase (connect, report_bug), snake_case (cgu_consultar), and mixed patterns overall. Also, cgu_consultar is Portuguese while other tool names are English, breaking a predictable convention.

Tool Count4/5

Seven tools is a reasonable count, but the marketplace tool is overloaded with many sub-actions (search, describe, invoke, install, subscribe, etc.), making it feel like a large number of hidden tools bundled into one.

Completeness2/5

The server's primary domain is CGU data consultation, but only one tool (cgu_consultar) addresses that domain. The rest are platform utilities (auth, marketplace, version, etc.), leaving obvious gaps such as different consultation types, data explanations, or batch operations.