bling_list_depositos
Lista depósitos/almoxarifados (GET /depositos). Paginado.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limite | No | ||
| pagina | No | ||
| account | No |
Lista depósitos/almoxarifados (GET /depositos). Paginado.
| Name | Required | Description | Default |
|---|---|---|---|
| limite | No | ||
| pagina | No | ||
| 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 already declare readOnlyHint, idempotentHint, and destructiveHint, so the bar is lower. The description adds that the endpoint is a GET and paginated, which is useful behavioral context. However, no other traits like auth needs or rate limits are mentioned.
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?
The description is concise at two sentences, front-loading the action. It could include parameter hints without becoming verbose, but overall it is efficient.
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 the lack of output schema and parameter documentation, the description is incomplete. It only covers resource and pagination, omitting account filtering and output structure. With many sibling list tools, more detail is needed for correct invocation.
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%, and the description does not explain any of the three parameters (limite, pagina, account). The agent gets no help understanding what values to provide or their purpose.
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 verb 'Lista' (list) and resource 'depósitos/almoxarifados', and mentions the HTTP method and endpoint. This distinguishes it from sibling list tools like bling_list_contatos or bling_list_produtos.
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 provides no guidance on when to use this tool versus alternatives, nor any prerequisites or exclusions. The agent must infer usage solely from the resource name.
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.
Each tool has a clearly distinct purpose: get/list for specific Bling entities (contacts, NFEs, sales orders, products, etc.) and separate platform tools (authenticate, marketplace, etc.). No overlapping functionality.
Bling tools follow a consistent 'bling_verb_noun' pattern (e.g., bling_get_contato, bling_list_produtos), while platform tools use simple English names (authenticate, marketplace). The deviation is minor and explainable by the two distinct categories.
22 tools is slightly above the ideal 3-15 range for a single server, but the number is justified by the comprehensive coverage of Bling entities and additional platform utilities. Not excessive.
The Bling tools are read-only (list/get only), lacking any create, update, or delete operations. This is a significant gap for a business management integration, limiting the agent's ability to perform full data lifecycle operations.