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CEPIM (Entidades Impedidas)

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

A4.5/5.0
Behavior5/5

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

Despite annotations already indicating non-read-only and open-world behavior, the description adds critical context: invoke runs tools one-off without registering, returns connect/checkout links in specific scenarios, requires owner/admin for writes, and describes the retry flow. These behavioral details go well beyond the annotations and help the agent anticipate side effects.

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 information-dense and front-loaded with the core purpose, but it packs multiple ideas into long sentences and includes shorthand like 'pontualmente' without immediate explanation. Still, every sentence provides value and the structure follows the search-to-invoke flow.

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?

The description thoroughly covers the main workflow and key constraints, including auth, billing, and the prompt library. But it omits several enum actions like 'resume' and doesn't mention the meaning of 'limit' or 'immediate,' so a few branches remain under-specified.

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 compensates by explaining the central 'action' parameter and key values like tool_id, prompt_vars, and prompt_slug. However, many parameters (limit, immediate, tier_slug, conversation) receive no explanation, leaving a gap for a 23-parameter tool.

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,' establishing a specific verb+resource. It further details the core flow (search → describe → invoke) and clearly differentiates itself from sibling tools like authenticate or connect by being the central catalog and execution hub.

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 explicitly advises 'prefer invoke for a single/occasional use' and 'use install only to make an MCP PERMANENT,' giving clear selection criteria. It also explains when to use list_tools ('lists what is callable right now') and distinguishes billing actions, providing actionable alternatives and scenarios.

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

Every tool has a clearly distinct purpose: authenticate for token login, cepim_consultar for CNPJ checks, connect for status, marketplace for discovery/running, report_bug, show_version, and toolkit_info. There is no functional overlap between tools.

Naming Consistency2/5

Naming is inconsistent: verbs (authenticate, connect), nouns (marketplace), verb_noun (report_bug, show_version), and noun_noun (toolkit_info). The only domain tool, cepim_consultar, reverses the verb_noun pattern, breaking any coherent naming scheme.

Tool Count2/5

Seven tools is moderate, but the server is named 'CEPIM' and only one tool relates to that domain. The other six are generic platform utilities, making the set feel padded and poorly scoped to the intended purpose.

Completeness2/5

For the CEPIM domain, only a single query operation exists with no additional workflows (e.g., bulk verification, historical checks). While the platform side is thorough, the CEPIM-specific surface is shallow and incomplete for a dedicated service.