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agentspan-ai

MCP Test Server

by agentspan-ai

collection_group_by

Group a list of objects by a specified key to organize records into categories for easier aggregation and analysis.

Instructions

Group a list of objects by a key.

Args: items: List of dictionaries to group. key: The key to group by.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyYes
itemsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.4

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full disclosure burden. It says nothing about how groups are keyed, what happens to missing keys, or ordering behavior, which are the details an agent would most want for a grouping utility.

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 prose is minimal and front-loaded with the operation. The 'Args:' block is somewhat boilerplate but not wasteful for a two-parameter function.

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?

An output schema exists, so return values need not be explained, and the tool is a simple two-parameter utility. The description is adequate but leaves edge-case behavior for item grouping unaddressed.

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 0%, so the schema only offers bare types ('Key' string, 'Items' array). The description partially compensates by clarifying that items are dictionaries and that key is the field to group by, but it omits edge cases like absent keys or non-string keys.

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?

States a specific verb (group) and resource (list of objects) with the grouping dimension named, so the operation is clear. It does not differentiate itself from adjacent sibling tools like collection_sort, collection_unique, or collection_flatten, but the core purpose is unambiguous.

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 about when to choose this tool over siblings such as collection_unique or collection_filter_gt, and no exclusions or prerequisites are stated. The agent must infer applicability 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.