Edita um cliente/fornecedor existente (AlterarCliente). data é um JSON string que DEVE conter a chave do cadastro (codigo_cliente_omie id Omie OU codigo_cliente_integracao) + os campos a alterar (ex.: razao_social, email, telefone1_numero, endereco). Consulte antes com omie_get_customer.
| Name | Required | Description | Default |
|---|---|---|---|
| data | Yes | ||
| account | No |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate readOnlyHint=false and destructiveHint=false, which are consistent with an update operation. The description adds that the data parameter must contain the customer key and fields to change, but does not disclose potential side effects or error behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, no wasted words. Front-loaded with the action and essential format requirements, followed by a practical usage hint.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema, the description does not specify return values, but it adequately describes input requirements and provides a prerequisite suggestion. Slightly incomplete for a complete understanding.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, but the description fully explains the data parameter: it must be a JSON string containing the customer key (codigo_cliente_omie or codigo_cliente_integracao) and fields to alter, with examples. This adds significant meaning beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool edits an existing customer/supplier ('Edita um cliente/fornecedor existente'), specifies the underlying API endpoint ('AlterarCliente'), and distinguishes from sibling tools by advising to use omie_get_customer first.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly advises to consult omie_get_customer before using this tool, providing clear context for correct usage. It does not explicitly state when not to use it, but the guidance is sufficient.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
The core Omie operations are distinct by resource and action, and the descriptions actively call out edge cases like omie_lancar vs omie_create_payable/receivable and transfer vs manual entries. A few pairs (list_payables/list_receivables/list_financial_movements/list_checking_account_entries) still overlap enough that an agent could pick the wrong one on first attempt.
The dominant pattern is clear and consistent: omie_verb_noun with create, get, list, update, delete, settle, cancel, and reconcile. The main deviations are the Portuguese helper omie_lancar and the unprefixed platform-level tools like authenticate, connect, marketplace, and toolkit_info, which break the otherwise regular naming scheme.
With 50 tools, this server is far beyond the 3-15 well-scoped range and sits at the extreme end of the rubric. Most of the tools are individually purposeful, but exposing checkings, payables, receivables, reconciliation, attachments, invoicing, batch upserts, and an entire marketplace platform in one server heavily taxes an agent's tool-selection space.
The core financial lifecycle is well covered: create, read, update, delete, settle, cancel, reconcile, unreconcile, transfer, attachment upload, and batch upsert. Minor gaps exist—invoices are list-only, customers have no delete operation, and there is no dedicated get-by-id for checking accounts—but these are workable for the main reconciliation workflows.