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11FGB Cleaning Tools

Calculate cleaning chemical usage

calculate_cleaning_chemical_usage
Read-onlyIdempotent

Use this when a user needs a planning estimate for ready-to-use cleaning solution, concentrate, water, or generic container quantities across one or many jobs. It does not recommend brands and product-label directions always take precedence.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
jobs_countYes
soil_levelNoaverage
postal_codeNoOptional US ZIP code for market context.
cleaning_typeNostandard
dilution_ratioNoParts water per one part concentrate, such as 64 for 1:64.
reserve_percentNo
product_categoryYes
average_square_feetYes
container_size_ouncesNo
coverage_sqft_per_gallonNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, establishing safety. The description adds behavioral context by noting the tool 'does not recommend brands' and that 'product-label directions always take precedence,' which are practical limitations not covered by annotations.

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?

The description is two sentences with no fluff. It front-loads the usage trigger and includes a necessary caveat, making every word 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?

Given the tool's complexity (10 parameters, output schema) and strong annotations, the description covers the core purpose and a critical limitation ('product-label directions always take precedence'). It does not explain how to choose among product categories or cleaning types, but schema enums and defaults mitigate this gap.

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 only 20% (2 of 10 parameters have descriptions). The description partially compensates by outlining the output types (ready-to-use solution, concentrate, water, generic container quantities) but does not explain individual parameters. Parameter names and enums are mostly self-explanatory, justifying a mid-range score.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool provides 'a planning estimate for ready-to-use cleaning solution, concentrate, water, or generic container quantities across one or many jobs.' This specific verb-resource pairing distinguishes it from sibling tools that estimate cleaning time/crew or cost, leaving no ambiguity about its purpose.

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?

The description opens with 'Use this when a user needs...' which gives explicit conditions for invoking the tool. However, it does not name alternatives or explicitly state when not to use it, though the sibling context makes this implicit.

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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TDQS

A4.2/5.0
Disambiguation4/5

Each tool targets a distinct planning need: chemical quantities, labor time/crew, residential cost, and commercial cost. The time/crew estimator overlaps slightly with cost estimates that also report hours and crew, but the descriptions make the primary intent clear.

Naming Consistency4/5

All tool names use snake_case and follow a verb-first pattern. Three use 'estimate' and one uses 'calculate', which is a minor semantic inconsistency, but the overall naming structure is predictable and readable.

Tool Count5/5

With only 4 tools, the server is tightly scoped to cleaning estimation. Each tool covers a necessary aspect of the domain without redundancy or unnecessary bloat.

Completeness4/5

The set covers the core planning areas: chemical usage, labor estimation, residential pricing, and commercial pricing. Minor gaps exist (e.g., specialty cleaning or quoting), but no critical dead ends are apparent.