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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It explains the tool is 'free' and 'live', details the logic for bond_health (24h slash volume within 2.5x baseline and ops bonds intact), and lists the returned fields. It does not mention failure modes, data staleness, or any side effects, but for a read-only data retrieval tool, this is moderately transparent. It could have disclosed more about edge cases or error handling.

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 detailed but not bloated. It front-loads the core purpose ('Live SolvScore reputation-bond market health') and then explains the output and usage. It includes specific technical details (2.5x, 10-day baseline, invention #4037) that add value. It's a bit longer than necessary but every sentence contributes to understanding the tool's behavior and context.

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 there are no parameters, the main context needed is what the tool returns and when to use it. The description covers the returned fields explicitly and provides usage context. An output schema exists, so the description doesn't need to detail return structures. It omits mention of rate limits or auth requirements, but for a free read-only tool, that's acceptable. Overall, it's complete enough for an agent to call it correctly.

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 tool has 0 parameters, and schema coverage is 100% (since there are no properties). Per the baseline rule, 0 parameters yields a baseline of 4. The description doesn't need to explain parameter semantics because none exist, and it doesn't try to fabricate any. It correctly focuses on outputs.

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's function: returning bond health and related metrics derived from slash events. It specifies the exact outputs (bond_health, slash_anomaly, badges outstanding, slash events, per-agent ops bond status) and the context (live SolvScore reputation-bond market). It is distinguishable from sibling tools like get_agent_trust_pulse or get_solvency_ratio by its focus on slash events and bond integrity.

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 provides a clear usage context: 'This is the same signal that rides every x402-agent-pay.com/facilitator/verify success response - a live trust status with no webhook service needed.' This tells the agent when to use it (when a live trust status is needed without a webhook). However, it does not explicitly name alternative tools or state when NOT to use it, so it falls short of a 5.

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