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save_local_draft

Save a snapshot of the current draft to local MCP memory for building and validating Ice Puzzle levels with AI assistants.

Instructions

Save a snapshot of the current draft in local MCP memory

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description carries full burden. It states the action is a 'save' operation but doesn't disclose behavioral traits like whether this overwrites previous local drafts, requires authentication, has rate limits, or what happens on failure. The phrase 'snapshot' implies a point-in-time capture but lacks operational details.

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 the core action ('save a snapshot') and includes essential qualifiers ('current draft', 'local MCP memory'). There is zero wasted verbiage or redundancy.

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?

Given the tool's simple nature (0 parameters, no output schema, no annotations), the description is minimally adequate. However, it lacks context about the draft's state (e.g., what constitutes 'current'), persistence characteristics, or how this integrates with sibling tools like 'load_local_draft', leaving gaps in operational understanding.

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 0 parameters with 100% schema description coverage, so the baseline is 4. The description appropriately doesn't discuss parameters since none exist, and it doesn't need to compensate for any schema gaps.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the specific action ('save a snapshot') and resource ('current draft'), specifying the storage location ('in local MCP memory'). It distinguishes from sibling tools like 'save_draft' (which likely saves remotely) and 'load_local_draft' (which retrieves).

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 'save_draft' or 'list_drafts'. It mentions 'local MCP memory' but doesn't explain why one would choose local over remote storage or when this operation is appropriate.

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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