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Aldro: small-business tax

Send the user's signup to Aldro

start_onboarding

Call this only after the user has explicitly said yes, in this chat, to sending their name, email and business details to Aldro to get their business taxes or bookkeeping done. It creates the same signup enquiry as Aldro's website form; Aldro's team then emails the user the next steps. Set consent to true only when the user agreed. It is not a marketing opt-in and takes no payment.

Input Schema

NameRequiredDescriptionDefault
nameYesThe user's full name.
emailYesThe email address Aldro should reply to.
entityYesBusiness type. US: sole_prop, single_member_llc, multi_member_llc, partnership, s_corp, c_corp. Canada: sole_prop or corporation.
consentYestrue only if the user explicitly agreed in this chat to share these details with Aldro.
countryYesUS for the United States, CA for Canada.
messageNoOptional. Anything the user wants Aldro to know.
serviceYestax (yearly business tax filing), bookkeeping (monthly), both, or catch-up (behind on the books).
business_nameYesThe business's name.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Beyond the annotations (openWorldHint=true, idempotentHint=false), the description discloses that this transmits data to a third party and that Aldro's team will email the user next steps, plus that no payment is taken. It does not address what happens on repeated calls or failures, which matters given idempotentHint=false.

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?

Four short sentences, front-loaded with the hard precondition before the mechanics and the consent rule. No filler and no repetition of schema detail.

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?

Covers purpose, consent gating, third-party transmission, and downstream behavior for an 8-parameter write tool with no output schema. It leaves the agent to infer error/duplicate-call behavior, which is a minor gap given the schema documents all fields.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3; the description still adds value by naming the data categories being shared and by reinforcing the consent parameter's gating rule ('set consent to true only when the user agreed'). Enum specifics are left to the schema, which is fine.

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?

States a concrete verb and resource: it sends the user's name, email and business details to Aldro and creates a signup enquiry equivalent to the website form. The 'signup to Aldro for tax or bookkeeping' framing clearly separates it from siblings like get_quote and list_required_documents.

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?

Gives an explicit precondition ('call this only after the user has explicitly said yes, in this chat') and exclusions ('not a marketing opt-in', 'takes no payment'), plus the rule for setting consent. It does not name an alternative sibling (e.g., get_quote first), so it falls short of a full when/when-not/alternatives treatment.

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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