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Get brand quota

fuzz_get_brand_quota
Read-onlyIdempotent

Returns how many more brands the user’s plan allows them to create.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the safety profile is fully covered by structured data. The description adds nothing beyond that — no note on auth requirements, plan edge cases (e.g. unlimited tiers), or error conditions — so it earns no extra credit.

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?

A single sentence that front-loads the returned value and contains no filler. There is no wasted clause.

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?

For a trivial zero-param read tool with no output schema, the description is sufficient: it explains the semantic meaning of the returned number, which compensates for the absent return schema. Only marginal detail (e.g. behavior when quota is exhausted or unlimited) is missing.

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 tool takes no parameters at all, which is the baseline-4 case; there is nothing for the description to clarify beyond the schema. The schema is an empty object with additionalProperties false, so description and schema are consistent.

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 states a specific verb and resource: it returns the remaining brand-creation allowance for the user's plan. That is clearly distinct from siblings like fuzz_get_brand and fuzz_list_brands, though it never names or contrasts them explicitly.

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?

Usage is only implied: an agent infers you call this when you need to know whether another brand can be created. There is no stated condition, prerequisite, or named alternative, but for a zero-argument read tool the intended context is fairly self-evident.

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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