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Trigger recurring invoice

trigger_recurring_invoice

Generate the next copies of recurring invoice templates right now, without waiting for the schedule. Pass entity_ids (the recurring invoice template ids).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entity_idsNoThe recurring template ids to generate the next copies from now.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

The annotations already indicate that this is not a read-only operation (readOnlyHint: false) and not destructive (destructiveHint: false). The description's word 'generate' aligns with a write action but does not disclose additional behavioral details such as side effects, idempotency, or reversibility. Since the annotation already covers the basic write nature, the description adds little extra transparency.

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 brief and to the point, consisting of two clear sentences. It states the action, the target, the condition, and the required input without any fluff or redundant information. This makes it easy for an agent to parse and act upon.

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

Completeness3/5

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

The description explains what the tool does (generates invoices) and what input is needed, but it does not specify the output or return value. Since there is no output schema, the description carries the responsibility for explaining the result. It falls short by not mentioning whether it returns the created invoices, a status confirmation, or something else, leaving some ambiguity about the expected outcome.

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?

The schema description for 'entity_ids' already clarifies that these are 'The recurring template ids to generate the next copies from now.' The tool description essentially repeats this by saying 'Pass entity_ids (the recurring invoice template ids).' With 100% schema coverage, the description adds minimal new semantic value, so it meets the baseline but does not elevate it.

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's purpose: to generate the next copies of recurring invoice templates immediately. It specifies the action ('generate'), the target ('recurring invoice templates'), and the timing ('right now, without waiting for the schedule'). This distinguishes it from related tools like 'set_recurring_invoice' and 'trigger_recurring_contract' by focusing on the immediate execution rather than setup or another recurring entity.

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 implicitly guides usage by stating 'without waiting for the schedule', indicating that this tool is for triggering invoices on demand rather than letting the schedule handle it. It also instructs to 'Pass entity_ids', clarifying the required input. However, it does not explicitly mention alternatives or when not to use it, leaving some room for inference.

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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