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x402-receivables-turnover

Receivables Turnover: Receivables Turnover

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
revenueNoRevenue to process
averageReceivablesNoAverageReceivables to process

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / averageReceivables
      Added value: +{
      +  "description": "AverageReceivables to process",
      +  "type": "string"
      +}
    • addedInput schema / properties / revenue
      Added value: +{
      +  "description": "Revenue to process",
      +  "type": "string"
      +}
  2. First observed

TDQS

C2.1/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full disclosure burden, and it discloses essentially nothing: not the formula (revenue / average receivables), not whether the result is a ratio or days, not whether inputs must be currency-normalized. Only the implicit 'this is a pure computation' reading keeps this above 1.

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

Conciseness2/5

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

It is short, but it is under-specified rather than concise: the single sentence duplicates the name and carries zero information payload. Brevity earned by omitting substance is not a structure virtue.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a ratio-calculation tool with no annotations, no output schema, and both parameters optional, the description should at minimum state the formula and the expected return value. It states neither, leaving an agent unable to interpret or verify the result.

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 the baseline is 3, but the schema text itself is placeholder boilerplate ('Revenue to process', 'AverageReceivables to process'). The description adds no clarification of units, period alignment, or sign conventions, so it neither compensates nor subtracts.

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

Purpose2/5

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

The description is a verbatim restatement of the tool name ('Receivables Turnover: Receivables Turnover'), which is the definition of a tautology. It gives no verb, no resource elaboration, and no distinction from financial siblings such as x402-asset-turnover, x402-inventory-turnover, or x402-days-sales-outstanding.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no indication of when this metric is preferable to related turnover/activity ratios, and no stated assumptions or preconditions. An agent must infer entirely from the tool name that this computes a financial ratio.

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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