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Infrações Trabalhistas (MTE)

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?

Beyond the annotations (readOnlyHint=false, destructiveHint=false), the description discloses important behavior: invoke runs a one-off tool execution without adding the MCP to the toolkit, returns connect or checkout links for auth/billing gaps with a retry instruction, and install/uninstall/subscribe/cancel are permanent/write actions requiring owner/admin. It also mentions installed_in_toolkit vs installed_in_workspace flags.

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 block of prose with multiple embedded clauses and a bilingual phrase ('pontualmente'), making it harder to scan. It contains valuable information, but structure is weak — no bullet lists or clear separation of the marketplace domain, prompt library, and billing/subscription behaviors. It is not concise given the number of concepts packed in.

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 complex multi-action tool with no output schema, the description covers the core flows, auth and payment edge cases, write permissions, installed flags, and the prompt library. Gaps remain: the 'resume' action is listed but never explained, and normal return value behavior for invoke/describe/search is not described. Still, the description is substantially complete for an agent to operate the tool successfully in most scenarios.

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 parameters and 0% schema coverage, the description carries the full burden, and it does explain core parameters like action, tool_id, mcp_id (implicitly), query, and arguments. However, many parameters remain unexplained: limit, immediate, tier_slug, conversation, cancel_reason, cancel_comment, report_context, and most prompt_* parameters. The description compensates for part of the gap but leaves a large remainder undocumented.

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 identifies the tool as 'the official mcp.ai marketplace' — an in-platform catalog and runner for MCPs/tools, plus a prompt library. It states concrete verbs (search, describe, invoke, install, subscribe, request) and distinguishes this tool from siblings by focusing on discovery, one-off execution, and permanent installation.

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?

The description provides explicit flow guidance: search → describe → invoke, with a clear explanation of when to use invoke vs install ('prefer invoke for a single/occasional use', 'install only to make an MCP PERMANENT'). It also explains list_tools for currently callable tools, request_mcp for unmet needs, and that writes require workspace owner/admin.

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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TDQS

A3.7/5.0
Disambiguation4/5

The tools serve mostly distinct purposes: authentication, connection status, marketplace browsing, the domain-specific query, bug reporting, version info, and toolkit state. There is slight overlap between 'connect' and 'toolkit_info' in connection status reporting, but the descriptions clarify their distinct focuses.

Naming Consistency2/5

Tool names follow no consistent pattern: some are verb-noun ('report_bug', 'show_version'), one is a single verb ('connect'), one is a noun ('marketplace'), one is a long Portuguese phrase ('mte_infracoes_consultar'), and one mixes noun+noun ('toolkit_info'). This heterogeneous naming makes the set feel uncoordinated.

Tool Count3/5

Seven tools is within a typical range, but only one tool actually addresses the server's stated purpose of labor infractions. The other six are generic platform utilities, making the server feel overstuffed with unrelated functionality for a specialist domain.

Completeness2/5

For a server dedicated to 'Infrações Trabalhistas', the only domain tool is a single query by CPF/CNPJ. There are no additional operations like listing infraction details, appeals, or supporting different query types. The surface is minimal and likely insufficient for broader use cases.