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reload_registry

Force reload the registry from its source (GitHub or local path). Clears cache and returns diff of added, removed, and modified entries after a marketplace update.

Instructions

Force reload the registry from its source (GitHub or local path).

Clears the in-memory cache and re-fetches all entries. Use after a marketplace update (git pull / new commit) to get fresh data without restarting the server.

Returns a diff vs the previous state:

  • added: entry IDs new in this reload

  • removed: entry IDs no longer present

  • modified: entry IDs whose plugin_version changed

  • total: total number of entries after reload

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations are provided, so the description carries full burden. It discloses key behavioral traits: clears in-memory cache, re-fetches all entries, and returns a diff of added/removed/modified IDs. While it doesn't discuss performance or authorization, the side effect and return format are well explained.

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 concise and well-structured: a one-sentence purpose, a usage guideline sentence, and a bullet list for return details. Every sentence adds value without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the zero-parameter complexity and the presence of an output schema (evidenced by context signal), the description is complete. It covers purpose, usage, side effects, and return format in detail, leaving no significant gaps.

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 no parameters, so the description does not need to add parameter semantics. Baseline 4 is appropriate since the schema coverage is 100% and there are no properties to describe.

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 starts with a clear action statement: 'Force reload the registry from its source (GitHub or local path).' It specifies the resource and the verb, clearly distinguishing this tool from listing and search siblings, which do not reload.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

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

The description explicitly says when to use it: 'Use after a marketplace update (git pull / new commit) to get fresh data without restarting the server.' It does not mention when not to use or alternatives, but the context is clear enough for an AI agent to infer appropriate usage.

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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