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List brands

fuzz_list_brands
Read-onlyIdempotent

Lists the Fuzzbucket brands owned by the signed-in user. A brand holds the identity, products, audience and style used by creative work. Use brands with ready=true; a brand that is still being set up or whose setup failed has ready=false and a note to pass on to the user.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoOptional bounded page size and cursor; follow the returned cursor for more results.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent and non-destructive, so the safety profile is covered. The description adds domain-specific behavior the annotations cannot: the ready=true/false distinction and the instruction to relay failure notes to the user, which materially affects how an agent handles results.

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?

Three tight sentences, front-loaded with what the tool returns, then the brand concept, then the ready-flag handling rule. Every sentence earns its place with no repetition of schema or annotation content.

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

Completeness4/5

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

No output schema exists, so the description partially compensates by describing brand contents and the ready/note fields returned. Pagination mechanics live in the schema and the read-only safety profile is covered by annotations, so an agent has enough to call it correctly; only a fuller return-shape description is missing.

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?

Only one parameter (a nested page object) and schema description coverage is 100%, so the schema already documents limit, cursor and the follow-nextCursor instruction. The description adds nothing about pagination, so baseline 3 is appropriate.

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 and resource ('Lists the Fuzzbucket brands') and scopes it to the signed-in user, then defines what a brand contains (identity, products, audience, style). Clear and specific, though it never explicitly positions itself against the singular sibling fuzz_get_brand, leaving that differentiation to inference.

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

Usage Guidelines4/5

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

Gives concrete operating guidance: use brands with ready=true, and for ready=false brands surface the note to the user. That is real when/when-not guidance for consumers. It does not name an alternative tool or state prerequisites, so it stops short of the top tier.

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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