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luisriverag

homebox-mcp

by luisriverag

group_statistics_purchase_price

group_statistics_purchase_price

Calculate total purchase price statistics over time to track spending trends and inventory value.

Instructions

Get total purchase price statistics over time.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. 'Get' implies a read operation, but the description does not clarify whether this is a safe read, what time range or grouping is applied, how results are aggregated, or what the response contains. This is minimal behavior information, not sufficient transparency.

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

Conciseness3/5

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

The description is a single sentence with no filler, which is concise. However, it is also underspecified: the phrase 'over time' is vague and the sentence must carry all of the behavioral and usage context that is otherwise absent.

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?

There is no output schema, no annotations, and no usage guidance, so the description needs to be more informative than it is. An agent knows this returns purchase-price statistics over time, but not what the statistics look like, what period they cover, or how they relate to the sibling statistics tools. This is incomplete for confident tool selection.

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 has zero parameters and 100% schema coverage, so the schema already fully specifies the inputs. The description does not need to add parameter details because there are none, matching the baseline of 4 for a zero-parameter tool.

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 uses a specific verb ('Get') and resource ('total purchase price statistics over time'), so an agent can tell this is a read operation for purchase-price statistics. However, it does not explicitly differentiate itself from the sibling tools group_statistics, group_statistics_labels, or group_statistics_locations beyond the purchase-price qualifier, so it is clear but not strongly distinguished.

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 tool versus the sibling group_statistics variants or other item/location tools. The description gives no context about what kind of request or workflow would call for this tool, so the agent is left to infer usage from the name 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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