Skip to main content
Glama

Garantia Safra

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

A4.7/5.0
Behavior5/5

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

The description discloses key behavioral traits beyond the minimal annotations: invoke runs tools even when not installed (one-off, without bloat), returns connect/checkout links under certain conditions, and requires workspace owner/admin for writes. It also mentions how search/describe flag installation state. This provides the agent with essential operation knowledge.

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 a dense single paragraph, but it is front-loaded with the main purpose and every sentence contributes unique operational detail. Given the tool's complexity (multiple actions, edge cases), the length is justified, though structured bullets or sections would improve readability.

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?

For a complex tool with no output schema, the description covers the main actions and their flow, including edge cases like auth requirements and empty wallet retry. It explains what describe returns (full MCP profile) and what get_prompt returns (filled prompt text). Some action-specific outputs are not detailed, but the core usage scenarios are well covered.

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?

Despite the schema having 23 parameters and zero description coverage in the schema itself, the description effectively explains many key parameters (action, mcp_id, tool_id, arguments, prompt_vars, etc.) through the workflow. However, several parameters such as immediate, conversation, and tier_slug remain unexplained, so it is not a complete parameter reference.

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 and the way to run MCPs, covering search, describe, invoke, install, and prompt library functions. It distinguishes itself from siblings by explicitly outlining the core flow and scope, making it unambiguous what this tool is for.

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 provides explicit guidance on when to use invoke vs install ('use install only to make an MCP PERMANENT... prefer invoke for a single/occasional use'), when to use list_tools, and what to do when credentials are missing or wallet is empty (connect link, checkout link). It also notes that writes require workspace owner/admin.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.8/5.0
Disambiguation4/5

Each tool has a distinct purpose: authentication, connection status, Garantia Safra query, marketplace, bug reporting, version display, and toolkit info. Minor overlap exists between connect and toolkit_info, but they are still distinguishable.

Naming Consistency2/5

Naming is inconsistent: most tools use English lowercase with underscores (authenticate, connect, report_bug), but one uses Portuguese (garantia_safra_consultar), and compound names vary (toolkit_info vs show_version). The mixed language and naming styles break any clear pattern.

Tool Count3/5

Seven tools is within the typical range, but the server's purpose is muddled. Only one tool is domain-specific (Garantia Safra consultation), while the rest are generic platform utilities (marketplace, auth, reporting), making the count feel padded and unfocused.

Completeness2/5

For a server named Garantia Safra, only a single consult operation is provided, lacking any other domain-relevant actions. The remaining tools are about platform management rather than the domain, leaving obvious gaps if an agent expects to manage Garantia Safra data beyond a simple lookup.