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bsoft_manutencao_write_patch

Manutenção / Frota no Bsoft TMS (escrita: cria/atualiza/remove). ⚠️ Altera dados de PRODUÇÃO (o Bsoft não tem homologação). Passe resource, action e body (JSON). update/patch/delete exigem id; recursos aninhados exigem parent_id; create_lote envia lista no endpoint /lotes. Recursos graváveis: abastecimentos, abastecimentosProprios, pneus.

[Flattened action: patch]

Bulk support: accepts ids, parent_ids for batched execution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNo
idsNo
bodyNo
accountNo
resourceYes
parent_idNo
parent_idsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior4/5

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

The description discloses a critical warning about production data ('Altera dados de PRODUÇÃO') and bulk support (ids, parent_ids), which adds value beyond the annotations that only indicate readOnlyHint=false, idempotentHint=false, destructiveHint=false. No contradiction with annotations exists; though destructiveHint is false, the warning is a safety note, not a claim of destructiveness.

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 somewhat cluttered: it mixes Portuguese and English, includes an artifact '[Flattened action: patch]', and references create_lote which may not be relevant to this patch-specific tool. It is not overly long but lacks clear structure and could be more streamlined.

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

Completeness2/5

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

For a tool with 7 parameters and no output schema, the description covers resource enum, id/parent_id requirements, and bulk support, but fails to clarify that this tool performs only patch operations (contradicting the broader 'cria/atualiza/remove' claim). It also does not describe the response format or error behavior, leaving important context missing.

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 help. It explains 'body' as JSON, id/parent_id requirements, and bulk ids/parent_ids. However, it does not explain the 'account' parameter at all, and it mentions an 'action' parameter that is not in the schema, causing confusion. Partial compensation for schema gaps.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states it's a write tool for maintenance/fleet (Manutenção / Frota) and lists writable resources. However, it says 'cria/atualiza/remove' (creates/updates/removes) while the tool name indicates 'patch' and the note '[Flattened action: patch]' suggests only patch operations. This ambiguity about the exact action type makes the purpose less clear, especially given sibling tools like create/update/delete.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus siblings (e.g., create, update, delete). The description mentions requirements like 'update/patch/delete exigem id' but does not explain when to choose patch over other write operations. It lacks explicit context or exclusions.

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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