calculate_dilution_valueCalculate prepared yield and effective cost after diluting a concentrate with added parts of water or another zero-cost diluent.
| Name | Required | Description | Default |
|---|---|---|---|
| currency | No | USD | |
| concentrate_price | Yes | ||
| concentrate_volume_l | Yes | ||
| added_parts_per_concentrate_part | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the behavioral disclosure burden. It clearly describes a pure calculation involving a concentrate and a zero-cost diluent, but it does not disclose the return format, units, or exact meaning of 'prepared yield' and 'effective cost.'
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single focused sentence with no filler. The key outcomes, 'prepared yield' and 'effective cost,' are front-loaded before the dilution method.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is a simple four-parameter calculator, but there is no output schema and no description of the return structure or exact formula. An agent can likely infer how to call it from parameter names and the description, but the ambiguity around output semantics is a notable gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema description coverage, the description must compensate for parameter meaning. It clarifies that added_parts_per_concentrate_part means 'added parts of water or another zero-cost diluent' and connects concentrate volume/price to yield/cost, but it does not explicitly define currency, units, or the calculation formula.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a specific operation (calculate) and a specific resource (prepared yield and effective cost after diluting a concentrate). The dilution focus clearly distinguishes it from the sibling retail-discount calculators such as calculate_real_discount and compare_pack_values.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no explicit guidance about when to use this tool versus its siblings, nor any mention of exclusions or alternative tools. The intended context is only implied by the dilution scenario rather than stated.
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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Each tool targets a specific calculation, but several overlap on concepts like effective unit price and discount percentage. The descriptions are helpful, yet an agent could hesitate between normalize_pack_value, calculate_delivered_unit_cost, and calculate_buy_x_pay_y when trying to determine unit cost.
Most tools follow a consistent calculate_* pattern, with compare_pack_values and normalize_pack_value as readable variations on the verb-noun structure. All names are snake_case and clearly action-oriented, so the set feels predictable despite minor inconsistency.
Six tools is well-scoped for a pricing and pack-value domain. Each tool covers a distinct calculation need without redundancy or excessive surface area.
The set covers unit cost normalization, delivered cost, promotions, discount amounts, dilution, and multi-offer comparison, forming a complete toolkit for common pack-value analysis. No critical missing operation is apparent for the stated purpose.