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datacrazy_businesses_patch

Atualizar negócio (PATCH /api/v1/businesses/{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. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already indicate a write operation, but the description reinforces this with '[write, altera dados]' and adds bulk execution behavior. It does not disclose partial-failure semantics or response details, but the annotation coverage lowers the burden somewhat.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short, front-loaded with the core purpose, and every sentence adds value. The bulk-support note is a meaningful addition without unnecessary verbosity.

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?

Despite simple annotations and clear purpose, the description is incomplete for a PATCH tool with 4 parameters and no output schema. It does not explain how 'body' should be structured, how 'account' is used, or how bulk execution with 'ids' behaves. More operational detail is needed.

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?

Schema description coverage is 0%, so the description must compensate for the 4 parameters. It only explains 'ids' (batched execution) and leaves 'id', 'body', and 'account' undocumented. The body parameter is critical for an update tool and is not explained at all.

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 clearly states 'Atualizar negócio' (update business) and gives the exact endpoint PATCH /api/v1/businesses/{id}, making the verb and resource explicit. It also distinguishes itself from sibling create/delete/get/list tools for businesses.

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

Usage Guidelines3/5

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

The update purpose is implied and the bulk support line provides some usage context, but there is no explicit guidance about when to use this tool versus create/delete or other business tools. No alternatives or exclusions are mentioned.

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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TDQS

B3.2/5.0
Disambiguation5/5

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.

Naming Consistency5/5

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.

Tool Count2/5

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.

Completeness4/5

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.