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budget_alert

Set and check budget limits for teams. Raises a flag when a configurable spending threshold is reached.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
teamNoTeam identifier
actionYes"set" to configure a budget, "check" to get current status
thresholdNoAlert threshold percentage 0–100 (default: 80)
budgetLimitNoUSD budget cap

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description carries the transparency burden. It does disclose a key behavior (raising a flag when a threshold is reached), but it does not mention side effects of the 'set' action (e.g., persistence, overrides, permission requirements) or what 'check' returns. Some behavior is disclosed, but not comprehensive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences, front-loaded with the primary purpose and a concise behavioral note. Every word earns its place, with no fluff or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 4-parameter tool without an output schema, the description does not explain what the 'check' action returns (e.g., current status object) or what the flagging entails (e.g., alert severity, notification). It gives the general idea but lacks return-value details that would help an agent interpret results.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already explains all four parameters. The description adds little beyond this, merely describing the two main actions ('set' and 'check') which are already encoded in the action enum. Baseline of 3 is appropriate since the description provides no additional parameter-level insight.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses specific verbs 'set' and 'check' with a clear resource ('budget limits for teams'). It also describes the core behavior (raising a flag on threshold), which distinguishes it from sibling tools like cost_forecast and cost_tracker that focus on prediction or tracking rather than limit configuration.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The action parameter (set/check) implies when to use each mode, but the description does not explicitly state when to choose this tool over alternatives like cost_tracker or cost_forecast. There is no mention of scenarios where another tool would be preferred or excluded, so usage guidance is only implied.

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

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TDQS

A4/5.0
Disambiguation5/5

Each tool targets a distinct aspect of cost optimization: tracking, forecasting, alerting, breakdown, and calculation. There is no functional overlap between any pair of tools, making selection unambiguous.

Naming Consistency5/5

All tool names follow a consistent pattern of two lowercase nouns joined by an underscore (e.g., cost_tracker, model_breakdown). The naming style is uniform and predictable.

Tool Count5/5

Five tools is a well-scoped size for an AI cost optimizer, covering the essential operations without unnecessary complexity. Each tool serves a clear and necessary function.

Completeness4/5

The core workflows are covered: recording, retrieving, forecasting, alerting, breakdown, and calculation. Minor gaps exist (no update or delete operations), but agents can accomplish the main lifecycle without significant friction.