get_spending_guardrails

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

With no annotations, the description carries the behavioral burden. The verb 'Check' strongly implies a read-only, non-mutating operation, and it names the specific data returned. However, it does not disclose whether any state changes occur, whether values are real-time, or whether authentication is required.

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 a single, front-loaded sentence with no filler or repetition. Every word adds meaning by specifying the action, the resource, and the exact values the agent can expect.

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 zero-parameter, read-only query with no output schema, the description provides the key conceptual return items: budget, daily limits, and remaining satoshis. It could be slightly more complete by clarifying response format or units, but 'satoshis' already removes the main ambiguity.

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 zero parameters and the input schema is empty, so there is nothing to document. The baseline of 4 applies because the description correctly focuses on the tool's output rather than attempting to describe nonexistent parameters.

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 uses a specific verb ('Check') and a clear resource ('current AI agent spending budget, daily limits, and remaining satoshis'). This directly distinguishes it from sibling payment, identity, telemetry, and audit tools.

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 does not state when to use this tool versus alternatives, nor does it provide exclusions or prerequisites. It implies a read-only inspection use case but never explicitly says 'use this before spending' or contrasts with siblings like get_agent_telemetry.

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