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Tribunal TRT24: Consulta Processual

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?

The annotations only carry readOnlyHint=false with no safety detail, so the description carries full weight — and it delivers. It discloses the one-off invoke behavior ('runs the tool pontualmente... without adding the MCP to the toolkit'), the connect-link and checkout/top-up retry semantics for missing auth/empty wallet, and the owner/admin requirement for writes. All that goes well beyond the structured annotation block with 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?

A dense ~350-word single paragraph with no line breaks, bullets, or a crisp front-loaded summary. Nearly every sentence earns its place given the 14-action surface pinned to a single tool, so it is information-dense rather than padded, but the wall-of-text presentation seriously hurts scannability for an agent parsing it.

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 14-action router with no output schema, it covers the primary flows well: the search→describe→invoke pipeline, install vs invoke trade-offs, auth/payment edge cases (connect link, top-up link, retry), permission requirements, and the separate prompt library. It partially discloses return behavior (connect/checkout links, prompt text, shareable slug), though it never details what describe or list_tools return.

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 23 params at 0% schema coverage, the description must compensate heavily. It does explain the pivotal action enum and its values (search, describe, invoke, install, list_tools, prompt actions) and ties tool_id/arguments to the invoke flow. But individual parameter semantics — limit, immediate, tier_slug, cancel_reason, conversation, prompt_vars — remain undocumented, leaving gaps the schema does not fill.

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?

States its full role explicitly: 'the official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them.' It then enumerates all 14 dispatch actions, making the broad surface unambiguous. Clearly distinct from siblings like authenticate, connect, and tribunal_trt24_processo_consultar, so there is no confusion about when to reach for this tool.

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 an explicit recommended flow: 'action=search discovers MCPs by intent → describe returns one MCP's full profile... → invoke RUNS that tool.' Also gives a clear decision rule between the two overlapping actions — 'prefer invoke for a single/occasional use' vs 'Use install only to make an MCP PERMANENT' — and points to list_tools for what is callable right now.

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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