barker_agent_payment_stats

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

With no annotations, the description fully carries the burden. It explains noise filtering criteria (avg_tx_usd < $0.02 and high tx-per-buyer ratio), distinguishes verifiable (x402) vs self-reported data, and clarifies percentage and volume formats. It details each view's output.

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 lengthy but well-organized, front-loading the core purpose and then drilling into details. Every sentence adds information, though some redundancy could be trimmed. It remains clear and structured.

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?

No output schema, but the description explains what each view returns (e.g., 'hero KPIs', 'daily time series', 'top sellers') and covers noise filtering. It misses exact field names but provides sufficient context for a 4-param 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?

Schema coverage is 100% with good descriptions. The description adds value by explaining the three views in more detail (e.g., 'hero KPIs + cross-protocol comparison table') and provides usage context, but much of the parameter meaning is already in the schema.

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 it provides 'Agent-economy payment metrics' from Barker's cross-protocol index, lists specific protocols (x402, Virtuals ACP, etc.), and details three views. It distinguishes from siblings (barker_defi_vaults, barker_market_overview, barker_market_trend) by focusing on agent payments.

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 example queries ('use for 'x402 volume', 'agent payment stats'...') that imply typical use cases, but lacks explicit guidance on when to avoid this tool or mention alternatives. The sibling context helps differentiate, but the description itself doesn't fully guide usage.

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