lc_get_org_config_value
Retrieve a specific organization config value by providing the org ID and config name.
Instructions
Get one organization config value.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| oid | Yes | ||
| config_name | Yes |
Retrieve a specific organization config value by providing the org ID and config name.
Get one organization config value.
| Name | Required | Description | Default |
|---|---|---|---|
| oid | Yes | ||
| config_name | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the full behavioral burden. It only states the action without disclosing side effects, required permissions, rate limits, or return format. The read-only nature is implied but not explicit. Misses an opportunity to provide critical behavioral context.
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. However, it is overly minimal and could include more useful information without becoming verbose. Acceptable but not optimal.
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 lack of output schema, annotations, and parameter descriptions, the description is severely incomplete. It fails to explain what a config value is, what the return looks like, or how it relates to other tools. An agent would struggle to use this tool correctly without external knowledge.
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?
Schema description coverage is 0%, meaning the description must add meaning to the parameters. However, it does not explain 'oid' (likely org ID) or 'config_name' (valid values or where to find them). The parameter names alone are insufficient for correct invocation.
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 'Get one organization config value' clearly states the verb and resource. It is specific and understandable, but does not differentiate from similar sibling tools like lc_fetch_config. The purpose is clear enough for an AI agent to understand the tool's basic function.
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 alternatives. There is no mention of context, prerequisites, or when to prefer it over other config-related tools like lc_fetch_config. The agent receives no help in tool selection.
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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