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OFODevelopment

cerebrochain-mcp-server

get_order_statistics

Retrieve order statistics and KPIs including total orders, fulfillment rate, average value, and trends for logistics analytics.

Instructions

Get order statistics and KPIs — total orders, fulfillment rate, average value, trends. Requires API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations provided, the description carries the full burden. It successfully discloses the 'Requires API key' authentication requirement, but omits other critical behavioral traits: read-only vs. destructive nature, data freshness, time-range scope for 'trends', and return format (since no output schema exists).

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 optimally concise with two efficient sentences. The primary action ('Get order statistics') is front-loaded, followed by specific examples and the authentication requirement. No redundant or wasted language.

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

Completeness3/5

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

Given the absence of an output schema and annotations, and the presence of numerous semantically similar siblings (get_kpi_dashboard, get_financial_metrics), the description is incomplete. It should clarify the output structure and explicitly differentiate this tool's aggregation scope from list/get alternatives.

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 input schema contains zero parameters. Per the calibration rules, zero parameters establishes a baseline score of 4. The description neither adds nor removes value regarding parameters, maintaining this baseline.

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 clearly states it retrieves 'order statistics and KPIs' and lists specific metrics (total orders, fulfillment rate, average value, trends). However, it does not differentiate from the sibling tool 'get_kpi_dashboard' or clarify the scope relative to 'list_orders', preventing a 5.

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?

The description provides no guidance on when to use this tool versus alternatives like 'get_kpi_dashboard', 'get_financial_metrics', or 'list_orders'. It also lacks prerequisites (beyond the API key mention) or exclusions.

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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