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kyuza1
by kyuza1

update_definitions

Fetch new LPC character items and palettes from the official repository. Enable clear_image_cache to delete cached PNGs and re-download them.

Instructions

Pulls new items and palettes from the official LPC generator repository. clear_image_cache=True also deletes downloaded PNGs so they are fetched again.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
clear_image_cacheNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It does disclose a meaningful side effect (clear_image_cache=True deletes downloaded PNGs so they are refetched) and implies a network pull from an external repository. However, it doesn't say whether existing local definitions are overwritten, whether this is destructive, or if a network connection is required.

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?

Two tight sentences with the primary purpose front-loaded and the parameter caveat second. Nothing is wasted, though the phrasing 'Pulls new items and palettes' is slightly loose relative to the tool's update semantics.

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?

For a one-parameter tool with no annotations and no output schema, the description covers the action and the parameter side effect. It stops short of stating what happens to existing definitions, whether the operation is idempotent, or what the call reports back when it completes.

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?

Schema description coverage is 0%, so the description must compensate, and it does: it explains exactly what clear_image_cache=True does (deletes downloaded PNGs so they are fetched again). It covers the sole parameter's intent and side effect, though it doesn't state the default value (false) explicitly.

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 states a specific action and source: pulling new items and palettes from the official LPC generator repository, which clarifies the otherwise generic name 'update_definitions'. It does not, however, distinguish this tool from siblings like clear_cache or list_categories, so the agent gets purpose but not differentiation.

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 statement of when to use this tool versus alternatives, nor any prerequisite or exclusions. With siblings such as clear_cache and generate_character present, the absence of routing guidance is a real gap; the only context is about a parameter, not about tool selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.