lc_preview_set_org_quota

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

With no annotations, the description must convey behavioral traits. 'Preview' implies a trial run, but it does not clarify if this is an idempotent read-only check, what the preview yields, or whether it mutates state. Missing details like authorization requirements or side effects.

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 very short (one sentence) and front-loaded with the key action. However, it sacrifices necessary detail for brevity, resulting in under-specification.

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 no output schema and minimal parameter descriptions, the description is incomplete. It lacks details on what the preview outputs, how to interpret the result, prerequisites, and any side effects or confirmations needed.

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 coverage is 0%, so the description must explain parameter meanings. It only mentions 'sensor quota for an org' without defining 'oid', 'quota' units/format, or the optional 'token_ttl_seconds'. This leaves the agent unable to correctly populate parameters.

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 action (preview setting) and the resource (sensor quota for an org). It is specific and distinguishes itself from many other lc_preview_set_* sibling tools by naming the exact resource and context.

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?

No guidance is provided about when to use this tool versus alternatives. There are many sibling preview_set tools, but no differentiation or usage context is given.

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