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Enriquecimento de Lead

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 goes far beyond the annotations, which only provide generic hints (readOnlyHint=false, etc.). It discloses side effects: 'invoke works even when the MCP is NOT installed... without bloating the tool list'; auth implications: 'Writes (install/uninstall/subscribe/cancel and the one-off install behind invoke) require workspace owner/admin'; and failure modes: 'invoke returns a connect link... checkout/top-up link (the user opens it, then you retry).' No contradictions found with annotations.

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 single dense paragraph that covers a lot of ground, and every sentence does add functional value. However, it is not well-structured for rapid parsing—no list breaks, headers, or grouping of conceptually related actions (search/describe/invoke vs. install/uninstall vs. prompt library). This hurts scannability and makes the tool harder to grasp at a glance, despite the high information density.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (14 action values, 23 optional params, no output schema), the description is thorough. It explains the end-to-end flow, the one-off vs. permanent distinction, auth requirements, billing behavior, prompt library functions, and even the fact that search/describe flag installation status. It covers essentially all major behavioral contexts an agent would need to select and invoke actions correctly.

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 the description must compensate. It partially does by explaining action values and the role of tool_id/arguments in the flow. However, many parameters (limit, immediate, tier_slug, cancel_reason, prompt_*) are never explained, leaving the agent to infer or guess. The description adds meaning for the core params but not for the full 23-parameter surface, so it doesn't fully compensate for the absence of schema descriptions.

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 opens with a specific, verb-driven statement: 'The official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them.' It clearly enumerates distinct sub-functions (search, describe, invoke, install, list_tools, etc.) and contrasts with siblings like authenticate or connect by positioning itself as the catalog/execution layer. The purpose is unmistakable and well differentiated.

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 usage guidance is embedded throughout: 'prefer invoke for a single/occasional use' and 'Use install only to make an MCP PERMANENT' directly tell when to choose one over the other. It also lists example use cases ('Covers capability requests like...') and describes the core flow (action=search → describe → invoke), giving the agent a clear decision path. No sibling alternatives are named, but the tool's own internal actions are well differentiated.

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
Disambiguation3/5

The core enrichment tool is distinct, but there is overlap among the platform tools: connect and toolkit_info both report connection status, and authenticate is also related to connection setup. An agent could confuse which tool to use for checking connectivity or managing credentials.

Naming Consistency2/5

Tool names are inconsistent in style: single verbs (authenticate, connect), a Portuguese noun-verb phrase (enriquecimento_lead_consultar), generic nouns (marketplace), and verb_noun pairs (report_bug, show_version). There is no predictable convention across the set.

Tool Count4/5

Seven tools is within a reasonable count range, but the set mixes one domain-specific tool with several generic platform management tools, making the overall scope feel unbalanced. The count itself is appropriate, though not perfectly scoped.

Completeness2/5

The lead enrichment domain is severely under-covered: only one tool (enriquecimento_lead_consultar) performs enrichment, with no support for other identifier types, batch operations, or lead lifecycle management. The platform tools are generic and do not address the server's stated purpose.