consume_quota

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It adds useful context about cost ('Cost: $0.0005 USDC') and service ('Service: ratelord'), which are not in the schema, but lacks details on permissions, rate limits, or what happens upon consumption (e.g., quota deduction effects). This provides some value but is incomplete for a mutation tool.

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 highly concise and front-loaded, with two sentences that efficiently convey key information (action, context, cost, service) without any wasted words. Every sentence earns its place by adding distinct value.

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 complexity of a quota consumption tool with 3 parameters, 0% schema coverage, no annotations, and no output schema, the description is incomplete. It lacks details on parameter meanings, behavioral outcomes (e.g., error handling), and integration with sibling tools, making it inadequate for full agent understanding.

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 description coverage is 0%, so the description must compensate for undocumented parameters. It does not explain the meaning or usage of 'agent_id', 'api_name', or 'calls_used' beyond what the schema provides (e.g., types and defaults). No additional semantics are added, failing to address the coverage gap effectively.

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 ('consume rate limit quota') and the context ('after making an API call'), which specifies the verb and resource. However, it does not explicitly differentiate from sibling tools like 'check_quota' or 'track_api_event', which might handle related quota or API tracking functions, leaving some ambiguity about uniqueness.

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 implies usage context ('after making an API call'), suggesting when to use it, but does not provide explicit alternatives or exclusions. For example, it does not clarify if this should be used instead of or in conjunction with tools like 'check_quota', leaving the agent to infer proper usage without clear guidance.

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