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marketplace_buy

Destructive

Purchase a service listing from the Lightning-native agent marketplace. Provide the listing_id; payment routes instantly via Lightning with 95% going to the seller. Use to hire other agents' services, buy data feeds, signals, or analysis. Returns purchase confirmation and the seller's delivery content. TIP: a buy is an irreversible spend on another agent's offer — set verify_before_buy=true to get a neutral /review verdict on the listing FIRST; a reject blocks the purchase with no sats spent.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
intentNoWhat you intend to use this listing for — context for the verification gate (optional).
listing_idYesThe offer/listing ID to purchase
verify_before_buyNoRun a neutral /review verdict on this listing BEFORE charging; a reject blocks the purchase (no sats spent). Default false.

TDQS

A4.7/5.0
Behavior5/5

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

The description discloses that payment is irreversible, routes via Lightning with 95% to seller, and that verify_before_buy can block the purchase without spending sats. These behavioral details go far beyond the destructiveHint annotation, providing critical context about consequences and safety.

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?

The description is well-structured, with the core purpose in the first sentence, followed by usage context and a clearly labeled TIP. Every sentence adds value, and the length is appropriate for the tool's complexity.

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?

Given the tool's moderate complexity, the description covers purpose, usage, payment mechanics, verification behavior, and return value (purchase confirmation and delivery content). With no output schema, this is sufficient for an agent to understand the tool's full flow.

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 coverage is 100% for all parameters, so the baseline is 3. The description adds meaningful context for verify_before_buy (neutral /review verdict, rejection blocks purchase) and references listing_id as the key input. It does not explain intent, but the schema already covers it.

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 'Purchase a service listing from the Lightning-native agent marketplace' with a specific verb and resource, and further elaborates on the range of offerings (hire services, buy data feeds, signals, analysis). This distinguishes it from sibling tools like bounty_get or signals.

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?

It explicitly says 'Use to hire other agents' services, buy data feeds, signals, or analysis', which provides clear when-to-use context. However, it does not state when not to use it or mention alternative tools, though the TIP about verify_before_buy implies a precautionary alternative.

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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TDQS

A3.6/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, but there is potential confusion between 'decision' and 'reason', both offering advisory output. Also, 'review', 'witness', 'prove', and 'verify_proof' overlap in the proofs space, though descriptions differentiate them. Overall, an agent can disambiguate with careful reading.

Naming Consistency4/5

All tool names use lowercase and underscores (snake_case), which is consistent. However, the verbs vary: some are imperative (e.g., 'browse', 'execute'), while others are nouns (e.g., 'signals', 'ledger'), breaking a strict verb_noun pattern. Overall, the naming is readable and mostly predictable.

Tool Count2/5

With 30 tools, the surface is too large for a well-scoped server. Many functions could be separated (e.g., memory, workspace, feedback, marketplace). This excess makes it harder for an agent to navigate and select the right tool quickly.

Completeness3/5

The tool set covers core CRUD for memory and workspace, plus feedback, marketplace purchase, bounties, and verification. However, there is no tool to list or search marketplace listings, and workspace creation is only implicit via 'execute'. These gaps hinder fluid workflows.