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Update account name, company or brand

update_account
DestructiveIdempotent

Set the name, company or brand (the look of every email the account sends) on the account.

Input Schema

NameRequiredDescriptionDefault
nameNo
brandNoname (header band), color (#rrggbb), logo_url and url (https), address (footer line). An empty name clears it.
companyNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / brand
      Added value: +{
      +  "description": "name (header band), color (#rrggbb), logo_url and url (https), address (footer line). An empty name clears it.",
      +  "properties": {
      +    "address": {
      +      "type": "string"
      +    },
      +    "color": {
      +      "type": "string"
      +    },
      +    "logo_url": {
      +      "type": "string"
      +    },
      +    "name": {
      +      "type": "string"
      +    },
      +    "url": {
      +      "type": "string"
      +    }
      +  },
      +  "type": "object"
      +}
  2. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, destructiveHint=true and idempotentHint=true, so the safety profile is covered. The description adds a useful semantic point that brand controls 'the look of every email the account sends,' but does not disclose that omitted/empty values clear or overwrite existing settings.

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?

A single front-loaded sentence with no filler; the parenthetical is the only slight syntactic clutter, but it earns its place by explaining 'brand'.

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

Completeness3/5

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

For a nested-object mutation with no output schema, the description leaves out important behavior: whether brand sub-fields are partially updatable, what happens when a parameter is omitted, and confirmation of the clearing behavior only documented inside the schema.

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

Parameters3/5

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

The description names the three top-level parameters (name, company, brand), matching the schema, but adds no format, required-ness, or replace-vs-merge semantics. With schema coverage at only 33% (name and company undocumented), the description does not fully compensate for the gap.

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?

States a specific verb (Set) and resource (name, company or brand on the account), and the parenthetical explains what brand means functionally. It is distinguishable from read-oriented siblings like get_account, though it never names an alternative explicitly.

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?

There is no statement of when to use this tool versus alternatives (get_account, create_api_key, etc.) or any prerequisite/precondition. The only usage signal is the verb itself.

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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