get_quota_status

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

No annotations are provided, so the description carries the full burden. It discloses key behavioral traits: it's a read operation (implied by 'Get'), and it specifies that quota values are updated only after making a request, which is crucial for understanding its timing and accuracy. It does not cover other aspects like error handling or rate limits, but the added context is valuable given the lack of 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?

The description is two sentences, front-loaded with the core purpose and followed by an important behavioral note. Every sentence earns its place by providing essential information without waste, making it highly efficient and well-structured.

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 tool's low complexity (0 parameters, no output schema, no annotations), the description is complete enough for a simple quota-checking tool. It explains what the tool does and a key behavioral constraint. However, without an output schema, it could benefit from specifying the return format (e.g., numeric values or a structured object), but the current description is adequate for the context.

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?

There are 0 parameters, and schema description coverage is 100%, so no parameter documentation is needed. The description adds no parameter-specific information, which is appropriate. A baseline of 4 is applied for zero parameters, as it avoids unnecessary details and focuses on the tool's purpose.

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 specific action ('Get') and resource ('current API quota status') with precise details about what information is returned ('remaining/limit'). It distinguishes itself from sibling tools (which focus on academic data like papers, authors, and citations) by addressing API quota monitoring.

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 clear context on when to use this tool: to check API quota status, with a note that values update only after making a request. This implies usage after API calls to monitor limits. However, it does not explicitly state when not to use it or name alternatives, though siblings are unrelated (e.g., no alternative quota-checking tool exists).

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