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Switchboard Finance

Request a broker callback

request_callback
Idempotent

Sends a business owner's finance enquiry to a licensed Switchboard Finance broker, who contacts them by phone, SMS and email. Use only after the person has agreed to this wording: "I agree to Switchboard Finance contacting me about this enquiry by phone, SMS and email, including follow-up emails I can unsubscribe from at any time." Returns a reference number and the expected contact time. Nothing is applied for and no credit check is run. Retries with the same idempotency_key return the original reference instead of creating a second enquiry.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
abnNo11-digit ABN, optional
nameYesThe person's name
emailYesEmail address
phoneYesAustralian phone number, e.g. 0412 345 678
amountNoAmount needed in AUD, optional
consentYesTrue only if the person agreed to the consent wording in this tool's description
scenarioYesThe finance need in the owner's words: purpose, rough amount, timing
agent_nameNoName of the assistant submitting, e.g. ChatGPT, Claude
notice_shownNoTrue if the collection notice from check_fit (next_step.collection_notice) was shown to the person
business_nameNo
consent_methodNoHow consent was given (default user_confirmed_in_chat)
idempotency_keyNoOptional unique key (8-128 chars) so a retry does not create a duplicate enquiry
business_purposeNoTrue if the funds are for a business purpose

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNo
statusNo
consentNo
problemsNo
receivedNo
duplicateNo
referenceNo
enquiry_idNo
response_timeNo
privacy_policyNo
expected_contactNo
what_happens_nextNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Annotations only cover the safety profile (readOnly false, idempotent true, openWorld true), yet the description adds real behavioral context: the return payload (reference number and expected contact time), the negative guarantees (nothing is applied for, no credit check), and explicit idempotency semantics ('retries with the same idempotency_key return the original reference instead of creating a second enquiry'). That is exactly the kind of detail annotations cannot carry.

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 sentences, front-loaded with what the tool does, then the gating condition, then the return/no-side-effect guarantees, then idempotency. The quoted consent wording is verbose but load-bearing, since it is the exact text the agent must obtain.

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

Completeness5/5

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

For a 13-parameter, high-stakes, externally facing submission tool it covers the essentials: consent gating, the collection-notice cross-reference, downstream contact channels, absence of credit checks, return shape and retry behavior. With an output schema present and annotations covering safety, nothing material is left for the agent to guess.

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 description coverage is 92%, so parameters are largely self-documenting and the baseline is 3. The description goes beyond that by embedding the literal consent wording that the consent parameter depends on and by clarifying that idempotency_key exists to collapse retries, adding meaning the schema's terse descriptions only hint at.

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 names a specific verb and resource (sends a finance enquiry to a licensed broker) and spells out the downstream effect (broker contacts by phone, SMS and email). Combined with the consent precondition, it is clearly the terminal submission action rather than a lookup like check_fit, so an agent can separate it from siblings without opening a schema.

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 precondition is explicit and unusually precise: use only after the person has agreed to the quoted consent wording. That is strong when-to-use guidance, though the description never names an alternative (e.g. check_fit for eligibility or search/list_products) or states when to avoid this tool entirely.

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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