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Antecedentes (Polícia Civil)

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

A4.7/5.0
Behavior5/5

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

Goes well beyond annotations by disclosing key behaviors: invoke works even when MCP is not installed, runs the tool 'pontualmente (one-off)' without adding to toolkit, returns connect/checkout links for auth/payment with retry instruction, and writes require workspace owner/admin. No contradiction 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.

Conciseness4/5

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

The description is long but appropriately structured: summary sentence, core flow with arrows, key invoke behavior, billing/permissions, prompt library. It's dense but every section adds value for a 14-action tool; it could be split into bullets for easier scanning but remains effective.

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?

Given the tool's complexity (14 actions, 23 parameters), the description covers most critical behaviors: search/describe/invoke/install, billing, prompts, and permissions. However, it omits explanation of the 'resume' action and some parameters, and with no output schema it doesn't specify return structures (beyond the connect/checkout links), leaving minor gaps.

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 description coverage, the description compensates by explaining the action enum semantics and several key parameters (mcp_id, tool_id, arguments, prompt_*). However, some parameters like 'immediate', 'tier_slug', 'conversation' are left unmentioned, though many are self-evident from their names.

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 states the tool's role: 'The official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them.' It distinguishes itself from siblings by covering a wide range of actions (search, describe, invoke, install, prompts) with a coherent core flow, whereas siblings like authenticate/connect are narrowly scoped.

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 explicit usage guidance: 'prefer invoke for a single/occasional use' and 'Use install only to make an MCP PERMANENT'. It outlines a step-by-step flow (search → describe → invoke) and explains when to use other actions (list_tools, subscribe/cancel, report_bug, request_mcp, prompt actions). Also clarifies permission requirements for writes.

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

A3.8/5.0
Disambiguation5/5

The single domain tool (antecedentes_policia_civil_consultar) is clearly distinct from the platform utility tools, which have well-separated purposes (authentication, connection status, marketplace search/invoke, bug reporting, version info, toolkit state). No two tools appear to perform the same action.

Naming Consistency2/5

The domain tool uses a long Portuguese noun-phrase verb (antecedentes_policia_civil_consultar) while all other tools use short English imperative or noun phrases (authenticate, connect, marketplace, report_bug, show_version, toolkit_info). This mixture of languages and naming patterns is inconsistent and makes the set feel disjointed.

Tool Count2/5

Seven tools is within a typical range, but the set is heavily weighted toward generic MCP platform tools that have nothing to do with the server's stated domain (criminal background checks). Only one tool actually serves the domain, making the count feel inflated and unfocused for the apparent purpose.

Completeness3/5

The platform tools are comprehensive, covering authentication, connection, marketplace discovery, invocation, bug reporting, versioning, and toolkit state. However, the domain surface is severely thin—only a single query operation with no supporting options (e.g., validation, different certificate types, or status tracking). For a server named 'Antecedentes', this leaves notable domain gaps.