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Tribunal STJ: Certidão Negativa

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?

Annotations are minimal (readOnlyHint=false, openWorldHint=true), so the description carries the disclosure burden and excels: it openly states invoke can run tools without install, returns connect links for missing credentials, returns checkout/top-up links for empty wallets (with a retry directive), and that writes (install/uninstall/subscribe/cancel and the one-off install behind invoke) require workspace owner/admin. No contradiction with annotations.

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

Conciseness2/5

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

The description is a single dense wall of text with no line breaks, bullets, or section headers despite covering 14 distinct actions across two domains (MCPs and the prompt library). It lacks front-loading — the key 'invoke works without install' insight is buried mid-paragraph. Highly informative but poorly structured for agent parsing.

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 high complexity (23 params, 14-action enum, no output schema), the description is remarkably thorough: it covers the full MCP lifecycle (search, describe, invoke, install, billing via subscribe/cancel, report_bug, request_mcp) plus the prompt library, and notes installed_in_toolkit vs installed_in_workspace flags. Some return-format detail is absent given no output schema, and the density hurts extractability, but coverage is essentially complete.

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 0% schema description coverage and 23 parameters, the description carries full responsibility and explains the most important ones in context: action (all 14 enum values are covered by the workflow narrative), mcp_id, tool_id, arguments, tier_slug (pricing), and the prompt_* family (prompt_body, prompt_vars, prompt_title, prompt_description, prompt_category, prompt_targets). However, several params remain unexplained (limit, query, message, immediate, conversation, request_name, request_details, cancel_reason/cancel_comment, report_context), so it doesn't fully compensate for the coverage gap.

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 states the tool is the official MCP marketplace — the in-platform catalog of MCP/tools and the way to run them. It names specific capabilities ('find an MCP that does X', 'consulta um CPF') and lays out the core search → describe → invoke flow, which distinguishes it from sibling tools like tribunal_stj_certidao_negativa_consultar (a specific MCP tool) and toolkit_info (which lists current state).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides strong contextual guidance: when to use invoke (one-off, works without install) vs install (permanent toolkit addition), the recommended discovery workflow, and the prompt-library path (search_prompts/get_prompt/publish_prompt) vs MCP path. It lacks explicit mentions of when NOT to use the tool or named alternatives among siblings, but the prefer-invoke-over-install recommendation is clear enough.

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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