usage_totals
Running totals across the whole system: how many questions have been asked, and how many were answered successfully (quality at or above the success threshold).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Running totals across the whole system: how many questions have been asked, and how many were answered successfully (quality at or above the success threshold).
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint and idempotentHint. Description adds system-wide scope and specifics of what totals are tracked, providing useful context beyond 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?
Single sentence, front-loaded with purpose, no wasted words.
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?
For a parameterless tool with no output schema, the description fully explains what it returns. Annotations confirm safety. Complete for its simplicity.
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?
No parameters, so schema coverage is 100%. Baseline for 0 params is 4; description adds no param info but none needed.
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?
Description clearly states it provides running totals of questions asked and answered successfully across the whole system. Distinct from sibling tools which focus on specific features like upgrades or bids.
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 explicit guidance on when to use vs siblings. Context implies it's for system-wide usage, but no when-not or alternatives mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct function or workflow step (e.g., general info vs booking-specific check, bid placement vs bid status, partner lookup vs pricing), and descriptions clarify when to use which. Even overlapping actions like check_upgrade_eligibility and start_eligibility_check are clearly differentiated by context.
Most tools follow a verb_noun pattern (e.g., check_upgrade_eligibility, place_bid, get_bid_status). A few deviate slightly (partner_question_insights, usage_totals) but the naming is still intuitive and readable overall.
17 tools is at the upper end of typical but still well-scoped given the breadth of functionalities (eligibility, bidding, watch, partner info, analytics). Every tool has a clear purpose, so the count feels justified rather than bloated.
The tool set covers the full lifecycle of upgrade management: eligibility check, bid placement/modification/status, pricing, partner info, watch, and system metrics. A minor gap is the absence of a cancel bid tool, but the main workflows are complete.