Skip to main content
Glama

Tribunal TRF5: Processo

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 adds substantial behavioral context beyond annotations (readOnlyHint false, openWorldHint true, idempotentHint false, destructiveHint false). Key disclosures: invoke 'runs the tool pontualmente (one-off), without adding the MCP to the toolkit and without bloating the tool list'; auth/payment fallbacks ('returns a connect link', 'returns a checkout/top-up link... then you retry'); permission requirements ('Writes... require workspace owner/admin'); installed-state flags; and the login-free prompt link behavior. No contradiction with annotations — readOnlyHint: false is consistent with documented install/uninstall/subscribe writes.

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?

Front-loaded well with the core search→describe→invoke flow, and every sentence earns its place given the tool's enormous 14-action scope. However, the entire text is one dense, unbroken paragraph with no bullet points, section breaks, or action-grouping — a parsing burden for an agent. The content is efficient, but the format could be significantly improved for a tool with this many subsections and sub-actions.

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 an unusually complex dispatcher (23 params, 14 actions, 2 sub-systems, no output schema, no param descriptions), the description is remarkably complete: it covers the one-off invoke semantics, connect/checkout retry flows, permission tiers, installed-state flags, and the prompt library. Gaps remain: `resume`/`immediate`/`limit`/`tier_slug` semantics, return-format expectations (no output schema), and full detail of several prompt_* params. Since there is no output schema, the description might have done more to describe return shapes, but overall it is strong for the complexity level.

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 coverage, the description carries the full burden and does most of the work: it explains the crucial `action` enum (all 14 values either named or implied — only `resume` is unmentioned), plus mcp_id ('describe returns one MCP's full profile'), tool_id ('so you pick the right tool_id'), arguments (implied via 'invoke RUNS that tool'), query, request_*, cancel_*, and the prompt_* family (prompt_body/prompt_slug/prompt_vars). It still leaves gaps: `limit`, `immediate`, `tier_slug`, `message`, `conversation`, `prompt_tool`, `prompt_targets`, `prompt_category`, `prompt_description`, and the `arguments` JSON format are not addressed.

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 precisely defines the tool's role: 'the official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them.' It enumerates every sub-action (search, describe, install, invoke, etc.) and outlines the core flow 'action=search discovers MCPs by intent → describe returns one MCP's full profile → invoke RUNS that tool.' This goes well beyond the generic name 'marketplace' to establish a specific dispatch tool with multiple verbs and resources.

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?

Excellent internal guidance: 'Use install only to make an MCP PERMANENT in the active toolkit... prefer invoke for a single/occasional use' sets explicit when-to-use rules between two overlapping actions. It explains list_tools ('lists what is callable right now'), request_mcp ('build a NEW MCP when nothing fits'), the full search→describe→invoke workflow, and the distinct prompt-library sub-flow (search_prompts/get_prompt/publish_prompt). The only gap is not contrasting with sibling tools like authenticate/connect, but within its own 14-action surface the guidance is thorough.

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.