get_metadata
Retrieve account metadata from Little Green Light to understand your organization's configuration and settings.
Instructions
Retrieve LGL account metadata
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve account metadata from Little Green Light to understand your organization's configuration and settings.
Retrieve LGL account metadata
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=true. The description adds no extra behavioral context beyond stating it retrieves metadata. It does not contradict annotations, but also does not elaborate on any side effects, access requirements, or result variability.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence, concise and front-loaded. It states the purpose without unnecessary words, though it may be slightly too brief for full clarity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the simplicity (no parameters, no output schema), the description is adequate but could be more complete by hinting at what metadata fields or scope are returned, especially since siblings like list_account_types may overlap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are zero parameters. According to the rubric, zero parameters earns a baseline of 4, as no parameter documentation is needed.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Retrieve LGL account metadata' uses a specific verb and resource, clearly indicating it retrieves account-level metadata. It distinguishes itself from the many CRUD siblings for specific entities, though it could further clarify what 'metadata' encompasses.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 the alternatives. With numerous sibling tools, the absence of usage context makes it harder for an agent to decide when to invoke this tool.
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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