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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is covered. The description adds only that the result covers configuration and usage counters; it does not mention auth requirements or rate limits, but the annotation coverage lowers the burden. No contradiction with annotations.

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?

One concise sentence that states the core action and data scope up front. There is no filler or repetition of the title.

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?

With a single well-documented parameter, an output schema, and full safety annotations, the definition gives an agent what it needs to call the tool correctly. It could be marginally stronger by explicitly routing mutations to update_account_quotas, but that is not required for invocation.

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 100% and the account_id parameter is already documented with its type and source ('from list_accounts'). The tool description adds no separate parameter detail, so the baseline of 3 applies.

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 names a specific verb ('Get') and a concrete resource ('quotas configuration and usage counters') for a LinkedIn account. This clearly distinguishes it from siblings like update_account_quotas by read intent, even without naming the sibling.

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 use case is implied by 'Get' and the account_id provenance note 'from list_accounts', but there is no explicit when-to-use statement or exclusion such as 'use update_account_quotas to change quotas.' An agent must infer the read-only workflow from the name and annotations.

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