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Cálculo Trabalhista

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

A4.5/5.0
Behavior5/5

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

The description adds meaningful behavior beyond the annotations: invoke runs uninstalled MCPs one-off, returns connect/checkout links on missing credentals or empty wallet, install makes tools persist in future sessions, and search/describe distinguish installed_in_toolkit vs installed_in_workspace. No annotation contradiction exists.

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

Conciseness4/5

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

The description is long but densely packed and logically ordered: identity, core flow, invoke nuance, install versus invoke, permissions, then the prompt library. It is a single run-on paragraph rather than structured bullets, but every sentence carries functional value.

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, 23-parameter tool with no output schema, the description covers the critical paths: invoke edge cases, install semantics, authorization requirements, billing actions, and prompt publishing. However, the resume action and parameters like immediate and conversation are not explained, and exact return shapes for search/describe are left implicit.

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?

Schema description coverage is 0%, so description has to compensate. It doesso for the central action enum and tool_id selection, and explains the prompt-related flows, but several parameters such as immediate, tier_slug, conversation, and request_details are left to inference from names/defaults. Meaningful but not comprehensive.

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 that the marketplace is the in-platform catalog of MCP/tools and the way to run them, and lays out the core search→describe→invoke flow. This clearly distinguishes it from the calculo/system siblings and from its own sub-actions.

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?

Gives explicit routing guidance: use invoke for one-off use, install for permanent toolkit inclusion, subscribe/cancel for billing, request_mcp when nothing fits, and list_tools for what is currently callable. Also notes that write operations 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

A3.6/5.0
Disambiguation4/5

The calculo_* tools each target a distinct legal area (labor, FGTS, alimony, sentencing, INSS, etc.), and detailed descriptions clarify their boundaries. Some relationship exists among correction/index-based calculators, but the legal context makes them distinguishable. The platform tools are also separate from the domain calculators, though marketplace is broad.

Naming Consistency3/5

All 16 calculation tools follow a consistent `calculo_<area>` snake_case pattern, which is good. However, the six platform/admin tools use a different style and language (authenticate, connect, marketplace, report_bug, show_version, toolkit_info), creating a clear split between the two clusters.

Tool Count3/5

At 22 tools, the set is on the heavy end. The 16 legal calculators each earn their place for a broad Brazilian legal-calculation suite, but the additional platform and marketplace plumbing tools inflate the count and make the server feel less focused.

Completeness4/5

The tool surface covers a wide range of Brazilian legal calculation needs: labor, FGTS, criminal sentencing, prison progression, INSS benefits, alimony, divorce, banking revisions, and monetary correction. Minor gaps exist, such as dedicated overtime or additional-hours calculators, but the core workflows are well covered with no obvious dead ends.