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@placraftic/mcp-server

@placraftic/mcp-server

by placraftic
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
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get_studio_stats

Retrieve real-time financial metrics, order status breakdowns, printer fleet load, and top materials for a chosen period to monitor 3D printing studio performance.

Instructions

Retrieve real-time studio financial metrics, orders breakdown by status, active printer fleet load, and top materials for a given period

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_studio_stats"
  }
}

Input Schema

NameRequiredDescriptionDefault
periodNoTime period to aggregate metrics for (today, this_week, this_month, last_30_days; default: this_week)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. 'Retrieve' implies a read and 'real-time' discloses data freshness, which is useful. However, it says nothing about permissions, rate limits, or how expensive the aggregation is, leaving meaningful behavioral gaps.

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?

A single dense sentence that front-loads the verb and packs the return categories efficiently. There is no filler or redundant restatement of the name.

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, enumerating the four returned metric categories is genuinely valuable and compensates well for the missing output schema. It falls short only on the behavioral and usage dimensions rather than on describing what the tool yields.

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% and the single enum parameter is fully documented with options and the default in the schema. The description adds only the phrase 'for a given period,' which adds 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?

The description states a specific verb ('Retrieve') and enumerates the exact resources returned: financial metrics, order-status breakdown, printer fleet load, and top materials. This rich enumeration makes it clearly distinguishable from siblings like list_orders or get_studio_info in practice, though it never names an alternative explicitly.

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 guidance on when to use this aggregate-stats tool versus get_studio_info or the many list_* tools it overlaps with conceptually. The period framing implies a reporting use case, but no alternative, prerequisite, or exclusion is stated.

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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