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ARAKEL Machine Evidence Network

batch_quote

Free preflight for 2-10 quick checks; batch is payable only when every item is conclusive

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

C2.7/5.0
Behavior3/5

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

With no annotations, the description carries the full burden and does contribute one meaningful behavioral trait: the free preflight versus payable batch distinction, including the 'only when every item is conclusive' condition. However, it does not disclose what the tool returns, whether it has side effects, auth requirements, or what happens when items are inconclusive.

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?

The description is a single compact sentence with no filler, and the most distinctive constraints—size and payment condition—are front-loaded. It loses a point because the wording is slightly awkward and relies on jargon like 'preflight' without elaboration, but structurally it is efficient.

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

Completeness2/5

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

Given no annotations, no output schema, 0% parameter coverage, and nine sibling tools, a brief pricing statement is insufficient. An agent needs to know what operation is performed, what the response contains, and how this tool differs from quote and counterparty_quote; the description omits all of that.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for the undocumented items parameter, but it mentions nothing about items, sources, from/to, or terms. The input schema alone provides the parameter structure, and the description adds no meaning to help an agent construct a valid request.

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

Purpose3/5

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

The description conveys a batch preflight service constrained to 2-10 items, but it never explicitly states the core operation such as 'get a price quote for a batch' or 'run batch checks.' It is distinguishable from siblings only by the batch-size and payment condition, not by a clear verb and resource.

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?

The phrase 'for 2-10 quick checks' provides an implied usage condition, but the description does not say when to prefer batch_quote over quote, counterparty_quote, or machine_quote. No alternatives or exclusions are named, so an agent must infer selection from the batch-size hint alone.

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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TDQS

B3/5.0
Disambiguation2/5

Several tools have heavily overlapping roles: 'quote' and 'machine_quote' both appear to offer free preflight quotes and x402 pricing, while 'coverage' and 'coverage_status' both relate to observation/watch coverage. 'catalog' and 'machine_sources' also blur the line between listing products and listing source adapters. An agent would likely struggle to pick the correct tool without deeper context.

Naming Consistency4/5

All tool names use lowercase snake_case and mostly follow a noun/status pattern. The 'machine_' prefix creates a recognizable subgroup, and quote-related names are clearly grouped. Minor inconsistency exists because some names are action-oriented (batch_quote, catalog) while others are status-oriented (coverage_status, discovery_status), but the overall style is coherent.

Tool Count5/5

Ten tools is a reasonable, well-scoped count for a specialized evidence/quote/status service. Each tool addresses a distinct operational concern: quotes, coverage, status, catalog, sources, and telemetry. The count does not feel inflated or too thin.

Completeness2/5

The server covers preflight quoting, coverage checks, catalog listing, status, sources, and sales telemetry, but conspicuously lacks any tool for purchasing, paying, or retrieving completed evidence/proofs. The quote descriptions repeatedly reference x402 payment and payable batches, yet there is no obvious order or fulfillment endpoint. This creates a dead end for agents trying to complete a transaction.

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