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Revunda: app review complaints

Estimate 1-star reviews and the 5-star ratings needed

estimate_one_star_cost
Read-onlyIdempotent

Same maths as Revunda's 1-star review cost calculator: estimated 1-star reviews per month by complaint theme (sector shares from the 29,785-review study), money exposure if you give a cost per 1-star, 5-star ratings that offset one 1-star, and 5-star ratings needed to reach a target rating. Sectors: parcels, telecom, taxi, energy, news, betting, travel, streaming, insurance, smarthome, banks, shopping, food, health, other.

Input Schema

NameRequiredDescriptionDefault
ratingNoOptional current average rating.
sectorNoOptional sector key for theme shares and the default 1-star share.
ratings_countNoOptional current number of ratings.
target_ratingNoOptional target average rating.
cost_per_one_starNoOptional: your own estimate of what one 1-star review costs you, any currency.
reviews_per_monthNoTotal new reviews per month (all star ratings).
one_star_share_pctNoOptional: your own % of reviews that are 1-star. If omitted, the sector average is used.

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 annotations already establish that this is a read-only, idempotent, closed-world calculation. The description adds useful domain context: it is based on Revunda's calculator, uses a 29,785-review study, and derives outputs from sector shares. It does not explain fallback behavior when parameters are omitted, which keeps it below a 5.

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 description is front-loaded and avoids multiple paragraphs, but it is a single long run-on sentence. The full sector list duplicates the enum in the schema, so part of the text does not earn its place.

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?

There is no output schema, so the description usefully enumerates the calculation outputs and explains the study-based sector context. It is nearly complete, but it omits what happens with no inputs and does not clarify default calculation behavior beyond the schema's note about sector averages.

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 description coverage is 100%, so all seven parameters are already documented in structured form. The description restates the sector list and output concepts, but adds little per-parameter meaning beyond what the schema already provides; 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?

The description names a specific estimation task and enumerates the concrete outputs: 1-star volume by theme, monetary exposure, offset ratio, and ratings needed for a target. It is clear what the tool does, though it does not explicitly distinguish itself from the sibling complaint/app tools.

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 implied by the listed outputs and optional inputs, but there is no explicit when-to-use guidance, no prerequisites, and no mention of alternatives. An agent can infer it is for 1-star cost estimation, but must decide for itself when that is appropriate.

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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