Get Unread Count

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

Annotations indicate readOnly and openWorld hints. Description adds value by stating the call is cheap (performance trait) and specifying the return type (object mapping folder to count). No contradictions 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?

Three sentences, each serving a specific purpose: purpose statement, usage guideline, return format. No wasted words; front-loaded with key information.

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 single optional parameter and presence of output schema, the description sufficiently covers purpose, usage, behavior, and return type. No additional context needed for this low-complexity 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?

Schema coverage is 100% with clear description for account_id. Description adds context about multi-account routing and omitting for active account, enhancing the schema's information.

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 tool retrieves unread email counts per folder, using specific verb and resource. It distinguishes from siblings like get_emails by noting it's a cheap call to use before fetching.

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?

Explicitly advises to use before get_emails to decide whether to fetch, providing clear when-to-use guidance. No exclusions or alternatives beyond get_emails are mentioned.

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