datacrazy_lists_update
Atualizar lista (PUT /api/v1/lists/{id}). [write, altera dados]
Bulk support: accepts ids for batched execution.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ||
| ids | No | ||
| body | No | ||
| account | No |
Atualizar lista (PUT /api/v1/lists/{id}). [write, altera dados]
Bulk support: accepts ids for batched execution.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ||
| ids | No | ||
| body | 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?
The description's '[write, altera dados]' is consistent with annotations (readOnlyHint=false) but largely redundant. It adds the PUT method and bulk-execution behavior, but does not disclose what data changes, whether it is reversible, or what response to expect.
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 brief, front-loaded, and contains no filler. Every sentence serves a purpose, though brevity comes at the cost of omitting critical parameter details.
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?
For a mutation tool with 4 parameters, no output schema, and zero parameter descriptions, this description is incomplete. It does not explain the body format, account context, or return value, so an agent would struggle to invoke it correctly beyond the trivial required `id`.
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%, so the description must compensate for parameter meanings. It only clarifies that `ids` enables batched execution; the required `id`, `body` payload, and `account` are left undefined.
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?
Description states 'Atualizar lista' and specifies the HTTP PUT endpoint, clearly identifying it as a list update operation. It is unambiguous against sibling tools like lists_create, lists_get, lists_delete, and lists_list, though it does not detail what fields can be updated.
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?
No explicit guidance on when to use this tool versus alternatives beyond 'bulk support: accepts ids for batched execution.' It does not mention when to use create/get/list instead, nor any exclusions or prerequisites.
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.
Every tool maps to a distinct resource-action pair (e.g., leads_create vs businesses_create). Even nested tools like leads_activities_list are clearly scoped from general activities_list. No two tools appear to do the same thing.
All resource tools follow the exact pattern 'datacrazy_<resource>_<action>' with actions being create, get, list, patch, update, delete, plus a few composite verbs like finish_create or actions_win_create. The naming is uniform and predictable.
70 tools is far beyond the usual 3-15 range for an MCP server, making it overwhelming and unwieldy for agents. Although the scope is broad (full CRM), the sheer count exceeds the recommended threshold for effective tool discovery.
Most resources have full CRUD coverage (leads, activities, tags, lists, products, businesses, business_loss_reasons). Some gaps exist: attendants only have get/list, conversations lack delete/update, and pipelines are read-only. These are minor and workable, but not complete lifetime coverage.