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enzoemir1

invoiceflow-mcp

Assess Payment Risk

invoice_risk

Predict late payment risk (0-100) for invoices by analyzing client history, due dates, and amounts. Returns risk factors and recommended actions to prevent delayed payments.

Instructions

Predict the late payment risk for an invoice (0-100). Analyzes invoice amount, client history, due date proximity, and reminder history. Returns risk level, factors, and recommended action.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
invoice_idYesThe invoice ID to assess
Behavior4/5

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

With no annotations provided, the description carries the full burden. It successfully discloses analysis methodology (invoice amount, client history, due date, reminder history) and return structure (risk level, factors, recommended action), compensating for the missing output schema. It lacks mention of side effects or caching but implies read-only assessment.

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?

Three sentences efficiently structured: first states core function and scale, second explains analysis inputs, third explains outputs. Zero redundancy, front-loaded with essential information, appropriate length for tool complexity.

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?

For a single-parameter tool without output schema, the description adequately compensates by detailing the return values (risk level, factors, actions) and analysis factors. It provides sufficient context for invocation without being verbose, though explicit mention of required invoice existence could strengthen it.

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% with the single 'invoice_id' parameter fully documented in the schema. The description does not add parameter-specific semantics, but with high schema coverage and only one obvious parameter, no additional description is necessary. Baseline 3 applies.

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 uses specific verbs ('Predict', 'Analyzes', 'Returns') and clearly identifies the resource (late payment risk for an invoice with 0-100 scale). It distinguishes from siblings like invoice_remind or invoice_mark_paid by focusing on risk assessment rather than action or state management.

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?

While the purpose is clear, the description lacks explicit guidance on when to use this versus alternatives like invoice_remind or cashflow_report. It implies usage for pre-action risk assessment but does not state 'use this before sending reminders' or specify prerequisites.

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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