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BravoDM

Niche rate benchmarks

rate_benchmarks
Read-only

Read the published rate table for one niche: for a creator at 25,000 followers, the floor, your number, and strong ask for one Reel, one feed post, and one Story set, plus what 90 days of usage adds on one Reel. The UGC video is priced differently: the brand posts it, so its rate follows the creator's experience tier, not followers. Its row carries the steady brand work tier and the response includes all three tiers, the figures the UGC rates guide leads with. Figures come from the same tables published at bravodm.com/rates. Pass a niche or category key such as beauty, kitchen, fitness, or tech_gadgets.

Input Schema

NameRequiredDescriptionDefault
nicheYesNiche or category key: a published table key (fashion, food, kitchen, cleaning, home, diy, tech_gadgets, apps_software, beauty, fitness, pets, family, wellness, travel, general_products) or a pricing model niche key (finance, tech, parenting, entertainment, gaming, lifestyle, other).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

The readOnlyHint already establishes this as a safe read operation, and the description adds useful behavioral context about returned benchmark content, including floor/number/strong ask figures and usage tiers. It also discloses that UGC pricing uses experience tier rather than followers, which is important non-obvious behavior.

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

Conciseness3/5

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

The main action is front-loaded, but the description is verbose for a one-parameter read tool. Sentences about UGC tiers and source tables contain useful nuance, yet some phrasing is convoluted and the final invocation note largely repeats the schema.

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?

With no output schema, the description does a solid job explaining what the response will contain and the special UGC-tier nuance. It remains slightly incomplete on exact response field structure and invalid-niche behavior, but it is sufficient for an agent to call the tool correctly.

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?

Schema coverage is 100% and the single niche parameter is fully described in the schema, including valid category keys. The description repeats a few examples and says to pass a niche key, but adds no parameter semantics beyond what the schema already provides.

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 read operation: retrieving the published rate table for one niche. It clearly describes what benchmarks are returned, but it does not explicitly distinguish this purpose from siblings like lookup_brand_program or price_deal.

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 description implies this is for reference rate benchmarks and gives an example niche key, but it does not explicitly say when to use this tool versus price_deal or lookup_brand_program. There are no exclusions or alternative-routing instructions.

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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