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dogfoodlab-io

StashDog MCP Server

manage_collections

Create, update, or delete collections and manage items within them using natural language commands for StashDog inventory organization.

Instructions

Create, update, delete collections or manage items within collections using natural language instructions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
instructionYesNatural language instruction for collection operations. Examples: "Create a new collection called Kitchen Appliances", "Add items abc123, def456 to collection xyz789", "Delete collection old-stuff"
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. It mentions operations (create, update, delete) but doesn't specify permissions needed, whether deletions are reversible, rate limits, or what the response looks like. This is inadequate for a mutation tool with zero annotation coverage.

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 a single, efficient sentence that front-loads key operations and uses natural language, with zero wasted words. It effectively communicates the core functionality without redundancy.

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?

Given the tool's complexity (handling multiple operations like create/update/delete), lack of annotations, and no output schema, the description is incomplete. It doesn't address behavioral aspects like error handling, response format, or security requirements, leaving significant gaps for an AI agent.

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%, so the schema already documents the single parameter 'instruction' with examples. The description adds no additional meaning beyond what the schema provides, such as syntax details or constraints, meeting the baseline for high coverage.

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 the tool's purpose with specific verbs ('create, update, delete') and resources ('collections' and 'items within collections'), distinguishing it from siblings like manage_inventory_items or manage_tags. However, it doesn't explicitly differentiate from manage_groups, which might have overlapping functionality.

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 manage_groups or manage_tags, nor does it mention prerequisites (e.g., authentication) or exclusions. It only states what the tool does, not when it should be selected.

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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