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SEFAZ MA DEC: Caixa Postal

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

A4.4/5.0
Behavior5/5

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

Even with annotations present (readOnlyHint:false, openWorldHint:true), the description meaningfully extends beyond them. It discloses that invoke runs tools one-off 'without adding the MCP to the toolkit and without bloating the tool list', that writes (install/uninstall/subscribe/cancel and the one-off install behind invoke) require workspace owner/admin, and that invoke returns connect/checkout links requiring user action then retry. No contradiction with annotations found.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

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

The description is information-dense with genuinely useful content, but it is delivered as a single continuous run-on paragraph with no bullet points, sections, or headings. It covers three distinct domains (MCP catalog flow, billing/installs, prompt library) without structural separation. Every sentence earns its place, but the formatting undermines scannability for an agent.

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 very complex tool (23 params, 14-action enum, no output schema), the description covers the primary flows thoroughly: search→describe→invoke, install vs invoke distinction, auth ownership requirements, payment link behavior, and the separate prompt-library sub-flow. Gaps remain in peripheral actions (resume, uninstall details, cancel workflow specifics) and return-value descriptions for search/list_tools, but the core usage is well covered.

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 description coverage, the description must compensate, and it does for the core flow: it maps action enum values to behaviors and explains tool_id/mcp_id/arguments usage in the search→describe→invoke flow. However, many of the 23 parameters (prompt_vars, conversation, tier_slug, cancel_reason, cancel_comment, prompt_targets, request_details, immediate, etc.) receive no semantic explanation, so compensation is only partial.

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 states a specific, multi-faceted purpose: it is the in-platform MCP catalog and execution tool ('the official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them'). It clearly distinguishes itself from siblings (authenticate, show_version, toolkit_info, sefaz_ma_dec_caixa_postal_consultar) by being the catalog/runner rather than a specific capability, and explicitly contrasts install vs invoke vs list_tools.

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 when-to-use guidance: 'prefer invoke for a single/occasional use', 'Use install only to make an MCP PERMANENT in the active toolkit', and spells out the core flow 'search discovers MCPs by intent → describe returns one MCP's full profile... so you pick the right tool_id → invoke RUNS that tool'. Also covers the retry pattern (connect/checkout link then retry) and the prompt-library sub-flow, naming search_prompts/get_prompt/publish_prompt with distinct roles.

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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