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Tribunal TJSP: Consulta Processual Unificada (Eproc)

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

A4.6/5.0
Behavior5/5

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

The description discloses rich behavior beyond the annotations: invoke works even when the MCP is not installed (one-off, no toolkit bloat), returns connect links for auth needs and checkout links for empty wallets with a retry flow, and writes require workspace owner/admin. Search/describe flag installed status. The readOnlyHint=false annotation aligns with the documented mutating actions - no contradiction.

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 a dense, run-on wall of text with no bullets, section breaks, or paragraph separation between the core marketplace behavior and the prompt library subsection. Every sentence carries useful information, so nothing is wasted, but scanability suffers badly for a tool with 14 action modes; the structure does not match the tool's complexity.

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?

Despite having no output schema and a massive scope (14 actions, 23 params, 0% param coverage), the description covers the end-to-end flows: search→describe→invoke, connect/checkout link returns with retry, install-vs-invoke permanence, admin requirements, and what describe/invoke/publish return (profile with tool_id+params+pricing+auth, links, shareable slug). Only a clear output/return structure is missing, which the prose partially mitigates.

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 across 23 parameters, the description carries the full burden and substantially compensates: it explains the action enum (all 14 values), the tool_id+arguments relationship for invoke, mcp_id for describe/install, and the prompt library params (prompt_slug, prompt_body, prompt_vars, prompt_title, prompt_targets, prompt_category, prompt_description). However, several params (limit, query, message, conversation, immediate, tier_slug, cancel_reason/comment, report_context, request_name/details) are only implied or omitted, so it doesn't fully cover all 23.

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 this is the official mcp.ai marketplace - the in-platform catalog plus the way to run them, covering capability requests. It precisely defines the dispatch role via the action parameter (search/describe/invoke/install/etc.), which distinguishes it from single-purpose siblings like authenticate, connect, and toolkit_info. The verb+resource+scope is specific and unambiguous.

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?

Explicit when-to-use guidance throughout: the core flow is spelled out (search discovers → describe returns profile → invoke runs), with direct preference statements like 'prefer invoke for a single/occasional use' and 'Use install only to make an MCP PERMANENT.' It also covers when to use list_tools, subscribe/cancel, report_bug, request_mcp, and the prompt library actions, plus owner/admin requirements for writes and the retry-after-link flow.

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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