Skip to main content
Glama

datacrazy_products_update

Atualizar produto (PUT /api/v1/products/{id}). [write, altera dados]

Bulk support: accepts ids for batched execution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
idsNo
bodyNo
accountNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations indicate readOnlyHint=false and destructiveHint=falseause; the description adds that it is a write operation ('[write, altera dados]') and mentions bulk support via ids. However, it doesn't clarify whether PUT is a full replacement or partial update, nor does it mention side effects or required permissions. No contradiction with annotations, but it could go further.

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 two lines, front-loaded with the HTTP method and endpointaire. It communicates the core purpose quickly without fluff. However, it might have included a touch more parameter guidance without sacrificing conciseness.

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 mutating tool with multiple parameters and no output schema, this description is sparse. It lacks details on the request body format, the 'account' parameter, update semantics (full vs partial), and error conditions. Bulk support is mentioned but not elaborated.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema coverage, the description must explain all parameters. It explains 'id' (from URL) and mentions 'ids' for bulk, but leaves 'body' and 'account' unexplained. The bulk support addition is useful, but incomplete.

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 states "Atualizar produto (PUT /api/v1/products/{id})" which clearly identifies the action (update) and resource (product) with an explicit HTTP method. It also marks it as a write operation that alters data, distinguishing it from GET/list tools. The mention of bulk support further clarifies its scope.

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 explicit guidance on when to use this tool versus alternatives like a PATCH tool (e.g., datacrazy_products_patch if it exists) or when to use bulk vs single update. The description only states the purpose, not the appropriate context or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.