Skip to main content
Glama

Sigo Seguros car insurance quotes

File the customer's answers to the carrier's questions

answer_carrier_questions
Idempotent

After carrier_questions: file the answers, passing answers_so_far back each time, until the set is complete.

Saves what the customer answered against their application, which is what moves it towards a final quote. Send every answer under the code it came back with, and only what the customer actually said.

This does not take payment, sign anything or bind coverage. Those happen in Sigo's own flow, through the link that comes back here.

The carrier takes its questions as a set, so answers are held until every one has been given. Pass the answers_so_far from the previous call back in, and only the new answer needs to go in answers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
localeYesThe language the customer is writing in. Set it from their own messages rather than leaving the default: the estimate's notice comes back in this language, and a notice the customer cannot read discloses nothing. Sigo serves these two languages only.
answersYesWhat the customer said, in their own answers. Never filled in on their behalf.
quote_idYesThe handle start_quote returned.
answers_so_farNoThe `answers_so_far` from the previous call, when there was one. It carries what the customer already answered, so only the new answer needs to go in `answers`. It survives a re-quote: after start_quote with revise_of, send the same token with the new quote_id and the answers still stand, as long as the carrier is the same one. Nobody has to be asked twice.
chosen_quote_idYesThe estimate the customer picked.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteYesWhat is done and what is still ahead, in the customer's language.
filedYesTrue once the carrier has the whole set. The carrier takes it whole or not at all, so answers are held until every required question has one.
answeredYesHow many of the carrier's questions have an answer so far, counting the earlier turns.
next_stepYesPaying and signing happen here, not in this conversation.
still_neededYesThe codes of the required questions with no answer yet. Empty when the set is complete.
answers_so_farYesEverything answered up to now, to pass back on the next call so nothing is lost. Null once the carrier has the set and there is nothing left to carry.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare a non-read-only, idempotent, non-destructive, open-world write, and the description is consistent with all of them. It adds genuine behavioral context beyond the annotations: answers are buffered until the full set is given, the token survives a re-quote (supporting idempotency), and payment/signing/binding are out of scope. It stops short of describing error behavior or the returned link's use in depth.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The instruction is front-loaded, which is good, but the four-paragraph narrative repeats the answers_so_far mechanic twice ('passing answers_so_far back each time' and 'Pass the answers_so_far from the previous call back in') and re-states the schema's own descriptions. Some sentences could be cut without losing meaning.

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 stateful, multi-step, 5-parameter write tool with an output schema, the description covers sequencing, the carry-back token, re-quote continuity, and scope limits. With an output schema present, return values need no explanation, so nothing an agent needs is missing.

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, but the description adds meaning the schema does not: answers must be given 'under the code it came back with' and 'only what the customer actually said', and only the new answer goes into `answers` while prior ones travel in `answers_so_far`. That incremental-input semantics is the key to calling this correctly.

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 specific verb and resource ('file the answers', 'saves what the customer answered against their application') and names the preceding action ('After carrier_questions'), cleanly separating it from the sibling that surfaces questions. An agent can tell what this does and where it sits in the flow without opening the schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives explicit ordering ('After carrier_questions'), the iterative protocol ('passing answers_so_far back each time, until the set is complete'), and a clear exclusion ('This does not take payment, sign anything or bind coverage'). Both when-to-use and when-not are covered, plus the re-quote case.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources