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Richiedi un preventivo a Sequel

request_quote

Invia una richiesta di preventivo a Sequel Consulting (sequel.consulting) per servizi di consulenza: SEO, GEO/AI visibility, assessment, adozione AI, contenuti, tecnologia. Il team risponde via email, di norma entro un giorno lavorativo.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesNome e cognome del richiedente
needYesDescrizione della esigenza, es. "assessment SEO/GEO per un ecommerce" (10-2000 caratteri)
emailYesEmail a cui Sequel risponderà
companyNoAzienda (opzionale)
websiteNoSito web della azienda (opzionale)
languageNoLingua preferita per la risposta (default it)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

Annotations provide no positive hints (readOnlyHint, idempotentHint, etc. are all false), so the description carries the burden. It discloses that the team responds via email within one business day, which is useful, but it does not describe the immediate effect of the submission, such as whether a confirmation is returned or how data is handled.

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 two concise sentences that front-load the action (send quote request), the recipient, the scope of services, and the expected response. No superfluous text.

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?

The description covers purpose, target, services, and response method, which is sufficient for a simple form-submission tool. It does not describe the immediate tool output, but with no output schema and the email response noted, it is adequately complete.

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% with all six parameters well-described. The description's mention of service types loosely maps to the 'need' parameter but adds no new semantic detail beyond the schema, aligning with the baseline for high coverage.

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 sends a quote request to Sequel Consulting and lists the service categories (SEO, GEO/AI visibility, etc.). It distinguishes itself from sibling tools, which are about checking status or site information, by being the only tool that submits a quote request.

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 gives clear context for when to use the tool: to request a quote for specific consulting services. However, it does not explicitly mention alternatives or state when not to use it, leaving some implicit 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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