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Published rates and payment terms

get_pricing
Read-onlyIdempotent

Published prices in USD: per-job checks (supplier verification, inspection per man-day, basic factory audit), commission bands for a full order engagement, the monthly retainer, worked examples, exclusions, travel and payment conditions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is covered. The description adds genuinely useful behavioral context by disclosing the scope of what is returned (rates, banded commissions, retainer, examples, exclusions, travel/payment terms), which matters because there is no output schema. It could state whether rates are current/dated, but the added value is real.

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?

A single sentence with the key qualifier (USD) front-loaded and no filler. The parenthetical enumeration is dense but every item is a distinct content category, so it earns its place.

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?

For a parameterless, read-only retrieval tool with no output schema, the description is complete enough: it covers what content is available without needing to explain arguments or return structures. The only meaningful gap is the absence of routing guidance against estimate_fees.

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?

The tool takes zero parameters, so the baseline is 4 and there is no parameter semantics to compensate for. The description correctly adds no spurious argument guidance.

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?

The description names a specific resource (published prices/rates in USD) and enumerates the exact content categories returned: per-job checks, commission bands, retainer, worked examples, exclusions, travel and payment conditions. An agent can tell it is the static rate-list retrieval tool. It does not, however, distinguish itself from the sibling estimate_fees, which an agent might confuse it with.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no prerequisites, and no mention of the natural alternative estimate_fees (static published rates vs. a computed estimate). The agent must infer the routing decision entirely on its own.

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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