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Smartwebchat

smartwebchat_get_quote

Price a Smartwebchat plan with optional add-ons: monthly net figures in EUR, each line with the product fact it comes from, plus the included quotas. White label returns price 'custom'. Works without authentication. The figures are self-asserted by the vendor from its published product facts. No checkout link is issued; a person completes the purchase.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
planYesPlan to quote. 'white_label' returns price 'custom' without a calculation.
additional_seatsNoAdditional team seats beyond the plan's included number (integer, 0 or more).
additional_assistantsNoAdditional assistants beyond the plan's included number (integer, 0 or more).
expected_messages_per_monthNoExpected messages per month; overage above the included quota is priced per 1,000 messages.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and does so well: it discloses that it works without authentication, that figures are vendor self-asserted from published product facts, that white_label returns 'custom', and that no checkout link is issued (a human completes purchase). These are exactly the behavioral traits an agent needs.

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

Conciseness4/5

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

Four dense sentences with no filler, front-loaded with the core action ('Price a Smartwebchat plan'). The caveats (self-asserted figures, no checkout) are appropriately placed but make it slightly heavier than strictly needed.

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?

With no output schema and no annotations, the description fills the gap by describing the return shape (per-line figures, product facts, quotas), the auth profile, and the purchase caveat. It is close to complete for the task; only pagination/formatting nuance is unaddressed, which is minor for a pricing tool.

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 description coverage is 100%, so the schema already documents all four parameters including the enum and overage-per-1000 semantics. The description adds light framing (EUR net, included quotas) but no syntax or meaning beyond the schema, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Price a Smartwebchat plan with optional add-ons') and clarifies output shape (monthly net EUR, per-line product facts, included quotas). It does not explicitly name or contrast any sibling, but no sibling overlaps in function, so the purpose is unambiguous.

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

Usage Guidelines3/5

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

Usage is implied by the pricing context and the white-label edge case is called out, but there is no explicit 'use this when' framing or named alternative. An agent can infer intent, yet guidance on when to reach for this versus siblings like get_fit or service_info is absent.

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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