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ln_vendor_reputation

Assess a vendor's trustworthiness by analyzing past transaction history and success rates before making a payment.

Instructions

Check a vendor's reputation based on transaction history.

Use this before paying a vendor to see if they're reliable. Aggregates all past transactions to build a reputation score.

Args: vendor: Vendor name or domain (e.g., "bitrefill.com", "openai").

Returns: Reputation report: total transactions, total sats spent, success rate, average payment size, and tags.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vendorYes
Behavior4/5

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

No annotations provided, so description carries full burden. It explains that it aggregates past transactions to build a reputation score and returns a report with specific fields. No side effects mentioned, but likely read-only.

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?

Concise and well-structured: purpose first, then usage, then args, then returns. Every sentence serves a purpose with no waste.

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

Completeness5/5

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

For a simple one-parameter tool with no output schema, the description fully explains what it does and what it returns, making it complete for agent understanding.

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

Parameters4/5

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

Schema has one parameter 'vendor' with description in args including examples (e.g., 'bitrefill.com', 'openai'). Despite 0% schema description coverage, the description adds meaning beyond the schema.

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 clearly states 'Check a vendor's reputation based on transaction history.' It uses a specific verb (check) and resource (vendor reputation), and is distinct from sibling tools like ln_vendor_trust.

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

Usage Guidelines4/5

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

Provides explicit guidance: 'Use this before paying a vendor to see if they're reliable.' Implies when to use but does not specify when not to use or alternatives, though clear enough.

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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