lc_get_quota_usage

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

The description implies a read operation via 'Fetch,' but with no annotations, it fails to disclose other behavioral traits such as permission requirements, performance characteristics, side effects, or response format. The lack of detail leaves the agent with minimal understanding of the tool's behavior beyond the basic action.

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 short sentence, making it concise and front-loaded. However, it is too sparse, omitting critical details. While there is no wasted text, the brevity sacrifices information, resulting in an adequate but not optimal balance.

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 and minimal parameter documentation, the description is grossly incomplete. It does not specify what the returned data contains, any constraints (e.g., only one org at a time), or error conditions. This severely limits the agent's ability to correctly use the tool.

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?

With schema description coverage at 0%, the description does not explain the 'oid' parameter. The description mentions 'for an explicit org' but does not connect it to the parameter. The agent receives no semantic help beyond the parameter name, leaving it unclear how to provide the correct value.

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 clearly states the verb 'Fetch' and the resource 'enforced quota usage for an explicit org.' This distinguishes it from sibling tools like lc_get_org_info or lc_get_billing_details. However, it does not elaborate on what 'quota usage' encompasses, such as limits or current usage, which could be ambiguous.

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 like lc_get_org_info or lc_get_org_stats. There is no mention of prerequisites, exclusions, or context that would help an agent decide to invoke this tool over others.

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