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payments.send_link

Generate a payment link for a job and optionally send it to the client via SMS and/or email. Requires Stripe Connect to be active on the company. Requires: job_id. Tip: Use after invoicing.generate for the smoothest flow.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
jobIdYesJob ID to create payment link for. Required.
amountNoPayment amount in AUD (e.g. 850.00). If omitted, uses job invoice total or quote total.
sendSmsNoSend payment link via SMS to client. Default false.
sendEmailNoSend payment link via email to client. Default false.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
amountNoPayment amount in AUD
actionsNoList of actions taken (SMS sent, email sent, etc.)
paymentUrlNoPayment URL for the client

TDQS

A4/5.0
Behavior3/5

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

Annotations indicate readOnlyHint=false (write operation), which is consistent with 'generate' and 'send'. The description adds prerequisite info but does not detail side effects, idempotency, or error behavior. Since output schema exists, return value details are not needed, but behavioral traits beyond annotations are minimal.

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 remarkably concise: two sentences plus a prerequisite and a tip, all front-loaded. Every word serves a purpose; no fluff or repetition. It efficiently communicates core functionality and context.

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 has 4 parameters, a prerequisite, and an output schema, the description covers key aspects: main function, optional sending, prerequisite, and a sequencing tip. It does not mention error cases or the output format, but the output schema likely covers return values. Overall, it is fairly complete for the complexity.

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%, so the description adds minimal value beyond the schema. It restates the required job_id and implies optional sending flags, but the schema already details defaults and amount fallback logic. Baseline 3 is appropriate as the schema carries the semantic load.

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 generates a payment link and optionally sends it via SMS/email. It specifies a prerequisite (Stripe Connect) and distinguishes from invoicing tools by focusing on payment links. The verb 'Generate' and resource 'payment link' are specific and unambiguous.

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 provides a clear prerequisite (Stripe Connect active) and a usage tip ('Use after invoicing.generate for the smoothest flow'), which guides sequencing. It does not explicitly list when not to use it or alternatives (e.g., billing.create_checkout), but the tip offers contextual guidance.

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

A3.8/5.0
Disambiguation4/5

Most tools have distinct resource+action naming (e.g., leads.create, jobs.list), but some overlap exists in analytics tools (dashboard, detailed, financials) and workflow automations (process_lead vs google_ads_pipeline). Descriptions clarify purposes, so slight confusion is possible but limited.

Naming Consistency5/5

All tools follow a consistent `domain.action` pattern (e.g., leads.create, billing.status). No mixing of camelCase or snake_case. Even complex names like lifecycle.assess or scaling.readiness_score adhere to the convention.

Tool Count1/5

95 tools is far beyond typical well-scoped servers (3-15). While the server aims to cover an entire business management platform, this volume is overwhelming for an agent, making selection and memory difficult.

Completeness5/5

The tool surface is exceptionally comprehensive, covering formation, hiring, compliance, funding, leads, quotes, jobs, invoicing, payments, marketing, analytics, integrations, webhooks, workflows, and more. Almost no obvious gaps in the lifecycle of running a trade business.

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