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List image packs

list_image_packs
Read-only

Photo packs for carousel slides, with id, name, theme and mood. Pass a pack id to make_carousel with imagePackId.

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": "list_image_packs"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

The annotations already declare this a safe, non-destructive read (readOnlyHint=true, destructiveHint=false, openWorldHint=false), so the bar is lower. The description adds genuine value by disclosing the shape of the returned objects (id, name, theme, mood) in the absence of an output schema, plus the downstream parameter it feeds; it does not mention ordering, pagination, or the size of the catalog.

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?

Two short sentences, no filler, and the resource-and-return-shape statement is front-loaded before the workflow hint. Nothing could be removed without losing information.

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?

This is a simple, zero-parameter read with no output schema, and the description compensates by naming the returned fields and the follow-up tool. What remains unaddressed — total pack count, ordering, or whether fields can be null — is minor for a small lookup tool.

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 takes zero parameters, which is the baseline 4 case. The only parameter mentioned (imagePackId) belongs to make_carousel, and the description correctly frames it as a downstream hand-off rather than an input here, which prevents confusion.

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 names a specific resource ('Photo packs for carousel slides') and enumerates the fields returned (id, name, theme, mood), so the agent knows exactly what it fetches. It does not state the verb explicitly (that comes from the name/title), and it does not distinguish itself from the many other list_* siblings, keeping it below 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 Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The second sentence establishes a concrete workflow: call this to obtain a pack id, then pass it to make_carousel as imagePackId. That is useful implied usage, but there is no explicit 'use when' trigger and no statement about when a different listing tool would be the right choice.

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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