Skip to main content
Glama

Brazilian operator profile

jt_operator_profile
Read-onlyIdempotent

The company-side profile behind a Brazilian operator/owner group, the same cut as the public /operadores page: legal entities (CNPJ roots, role, Receita Federal status), dominant RBAC, the RBAC-91K shared-ownership program when the group runs one (EA revision, authorized models), fleet aggregates (total, operational, top models, base states, capped at 100 tails with fleetTruncated when the group is bigger), decision-maker names from the public QSA (no CPF, ever), a minimal vulnerability read (CVA expiring within 90 days, tails idle 90+ tracked days, liens/gravame count) and whether the group also runs an RBAC 145 maintenance shop. query accepts a brand/URL slug (as in /operadores/), a commercial or legal name, or a CNPJ (14 digits) or its 8-digit root. A brand spanning several CNPJs (e.g. a cooperative plus its holding) is returned as ONE group. found:false means no group matched the text (spelling or a CNPJ root can differ).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesOperator slug, brand/company name, or CNPJ (14 digits) / its 8-digit root.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeNoMachine-readable error code (INTERNAL, TIMEOUT, INVALID_ARGUMENT, NOT_FOUND, TOOL_FAILED, ACCOUNT_KEY_REQUIRED).
_metaNo
errorNo
foundNo
gatedNo
requestIdNo
retryableNo
quota_exceededNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior5/5

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

Beyond the readOnly/idempotent annotations, it discloses significant behavioral detail: the data is the same cut as the public /operadores page, groups are merged into one, fleet results are capped at 100 with fleetTruncated, CPFs are never exposed, and specific vulnerability thresholds are described. This far exceeds what annotations alone convey.

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 dense but not padded; every clause contributes substantive detail. The single long, comma/semicolon-heavy sentence is harder to scan than structured bullets, but it is appropriately sized for the tool's broad output profile.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's one-parameter input and existing output schema, the description covers the important operational behaviors: query matching, group aggregation, found:false, truncation, privacy limits, and the included vulnerability/regulatory data. An agent has enough context to invoke and interpret the tool correctly.

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

Parameters4/5

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

The schema already documents the single query parameter at 100% coverage. The description adds a concrete URL-slug example, explains the 8-digit CNPJ root usage, and clarifies that names/spellings may differ, which is valuable beyond the schema. This justifies a score above the high-coverage baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the resource as a company-side profile for Brazilian operator/owner groups and enumerates its contents. It does not explicitly contrast itself with siblings like jt_owner_group or jt_operators_stats, so it stops just short of fully differentiating from alternatives.

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?

It gives thorough input guidance: accepted query forms, URL slug pattern, CNPJ root handling, grouping of multiple CNPJs into one group, and found:false semantics. However, it never states when to choose this tool over related siblings, so tool-selection guidance is only implied.

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.

Resources