get_ai_spend_monitor

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 the lookback window (days) and what it monitors (spikes/drops, commitment contracts). However, it doesn't explicitly state read-only nature, permissions, or side effects. The description is adequate but not exhaustive.

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 concise with two paragraphs plus an args section and examples. It front-loads the main purpose and uses examples to illustrate usage. The structure is effective, though could be slightly more streamlined.

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 low complexity (1 parameter, no output schema), the description is complete enough for an agent to use correctly. It covers the what, when, and examples. No major gaps for a monitoring view 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?

The description adds meaning to the 'days' parameter beyond the schema (which only has type and default) by describing it as the lookback window. Since schema description coverage is 0%, the description compensates well. It could be more explicit about the format or units (days), but it's clear.

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 provides an on-demand view of the daily AI-spend monitor, specifically monitoring spikes/drops in token-spend and commitment contracts. This verb+resource purpose is specific and distinguishes it from sibling tools like audit_* or get_ai_billing_blind_spots.

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 explains that the scheduler runs daily and alerts via Slack, and this tool returns the same view on demand. It provides clear context for when to use it, but doesn't explicitly state when not to use it or mention alternatives, which would push it to a 5.

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