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MCP Compras.gov.br

compras_arp_buscar_por_objeto

Read-onlyIdempotent

Busca ARPs vigentes cujo objeto contém uma palavra-chave.

Resolve a limitação do endpoint /modulo-arp/1.2_consultarARP_FimVigencia, que não aceita filtro por texto: pagina internamente até max_paginas_varridas e filtra client-side por presença de palavra_chave (case-insensitive, com normalização de acentos). Curto-circuita quando atinge max_resultados.

O servidor faz o trabalho que antes era pedido ao LLM — sem isso, o roteiro oportunidades_carona_arp esbarrava em 169k ARPs vigentes e 339 páginas. Achado da bateria A v0.3.5.

Limitação conhecida: o schema upstream de ARP não traz UF no item — só nomeOrgao e nomeUnidadeGerenciadora. Para filtrar por UF, cruze os matches com compras_uasg_consultar usando codigoUnidadeGerenciadora e compare unidade.uf. Não tentamos esse cruzamento aqui para manter a tool barata e previsível.

Output: { "resultado": [], "total_examinadas": int, "matches": int, "paginas_varridas": int, "curto_circuitou": bool, "_filtro_objeto": {...} }

Cache 15 min por (palavra_chave + janela + caps).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
palavra_chaveYesTermo a procurar no campo `objetoCompra` das ARPs (case-insensitive, com normalização básica de acentos). Exemplos: 'notebook', 'uniformes', 'limpeza'.
max_resultadosNoQuantos matches no máximo retornar (curto-circuita a varredura).
max_paginas_varridasNoQuantas páginas do upstream serão varridas para encontrar matches (proteção de latência). Default 10 × 500 itens = até 5.000 ARPs examinadas. Cap em 50.
data_vigencia_final_maxYesLimite máximo do fim de vigência (YYYY-MM-DD).
data_vigencia_final_minYesLimite mínimo do fim de vigência (YYYY-MM-DD). Tipicamente hoje para 'apenas vigentes'.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.8/5.0
Behavior5/5

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

Annotations already declare read-only, idempotent, and open-world; the description adds substantial behavior beyond them: internal pagination up to max_paginas_varridas, client-side filtering, short-circuit at max_resultados, accent-normalized case-insensitive matching, and a 15-minute cache keyed by (palavra_chave + janela + caps). The bounded pagination honestly signals that the search is capped and not exhaustive, consistent with openWorldHint. 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?

Purpose is front-loaded in the first sentence, followed by mechanism, rationale, known limitation, and output shape in a clearly partitioned structure. The internal provenance note ('Achado da bateria A v0.3.5') adds no value for an agent, and the 169k/339-page anecdote, while illustrative of latency motivations, is slightly longer than strictly necessary.

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?

Complete for the tool's complexity level: it defines the output object inline, discloses the bounded-search behavior, the caching semantics, and the missing-UF limitation with a concrete remediation path. Nothing an agent needs to invoke it correctly or interpret results properly is absent.

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?

Schema coverage is 100% with well-documented individual parameters, so the baseline is 3. The description adds meaning by explaining how the parameters interact — page scanning up to max_paginas_varridas, short-circuiting when max_resultados is reached, and the cache key spanning keyword+window+caps — which the schema does not convey. Not a 5 because the schema already carries most per-parameter semantics.

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 a specific verb+resource+scope: searches current ARPs whose `objeto` contains a keyword, with case-insensitive and accent-normalized matching. It references the exact upstream endpoint it builds upon and explicitly calls out the scenario it was created for (oportunidades_carona_arp), clearly distinguishing it from siblings like compras_arp_por_fim_vigencia and compras_arp_consultar.

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?

Explains why the tool exists — the upstream endpoint /modulo-arp/1.2_consultarARP_FimVigencia does not accept text filters — and when it applies (keyword search in `objeto`). It also gives an explicit when-not: for UF filtering it instructs crossing matches with compras_uasg_consultar via codigoUnidadeGerenciadora, naming the exact alternative and the reason.

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

Most tools target distinct resources, and descriptions are extremely detailed, often explicitly warning about look-alikes. However, there is real overlap between composite and single-purpose tools (e.g., compras_checar_sancoes_fornecedor vs compras_perfil_fornecedor_completo vs compras_sancao_*), and similar-looking pairs like compras_contratos_consultar vs compras_contrato_comprasnet_consultar or compras_arp_listar vs compras_pncp_atas_listar require careful reading. With 100 tools, an agent will still face meaningful selection ambiguity.

Naming Consistency3/5

The dominant pattern is snake_case with a compras_ prefix, but the order and style vary: some are domain-first (compras_catmat_buscar), some are verb-first (compras_buscar_contratacoes_similares), and some are bare entity names with no verb (compras_sancao_ceis, compras_pncp_modalidades). The many listar/consultar/buscar variants are readable, but the convention is not predictable enough for a 100-tool surface.

Tool Count1/5

100 tools is an extreme count for any MCP server, regardless of domain breadth. Even if each tool has a legitimate upstream endpoint, this volume will heavily tax context windows and make reliable tool selection harder. Many tools could be consolidated into parameterized families (e.g., contratos, sancoes, pncp resources).

Completeness4/5

The server covers the Brazilian procurement domain remarkably well: catalogs, ARPs, 14.133 contracts, legacy regime, price research, suppliers, sanctions, PGC/PCA, PNCP, and Comprasnet contract subresources. Minor gaps remain, such as listing a supplier's full contract history without specifying an órgão, and some upstream limitations are only papered over with client-side workarounds.