Bounty Engineer Agent Commerce

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

Annotations only declare readOnlyHint=false, openWorldHint=true, idempotentHint=false, and destructiveHint=false; the description adds far more, disclosing the two-phase call contract, that the first call is a non-executing probe returning PaymentRequired, the exact _meta['x402/payment'] retry key, and the _meta['x402/payment-response'] success marker. This is behavioral context the annotations cannot convey.

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?

Four sentences, front-loaded with the protocol identity and then the call flow, with no filler. Slightly dense around the _meta key paths, but every sentence earns its place.

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?

There is no output schema, so the description must cover the return shape, and it does name the PaymentRequired response and the payment-response meta marker. It is missing per-product input expectations, which matters for a tool with 55 enum products and a free-form input object.

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 description coverage is 0%, so the description must carry the burden. It names product_id and input but adds almost no meaning: the 55-value product_id enum and the free-form nested input object are left unexplained, and only the retry-time _meta payment key is described. Partial compensation only.

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 names a specific mechanism (x402 v2 payment transport over MCP) and a concrete resource (paid products addressed by product_id), so an agent knows exactly what the tool does. It does not name or contrast with siblings like quote_autonomous_purchase or get_purchase_instructions, which would have pushed it to a 5.

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?

It clearly explains the usage context: first call returns PaymentRequired without doing work, and an x402-capable buyer retries the same call with a signed PaymentPayload. That is strong when-to-use guidance, but it gives no explicit when-not-to-use or routing to sibling tools for discovery/quoting vs execution.

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

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

Annotations already declare readOnly, idempotent, and non-destructive, so the safety profile is covered structurally. The description adds genuine context beyond that: it confirms no funds are spent and discloses the exact composition of the returned payload (method, price, schema, sample input, purchase contract), which is useful for an inspection tool.

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?

A single front-loaded sentence that names the action, the returned artifacts, and the key constraint (no funds spent) with zero wasted words.

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 one-parameter read-only inspection tool with no output schema, the description is nearly sufficient: it enumerates what comes back and that nothing is charged. The only real gap is that it does not characterize the product_id input, which the schema leaves undocumented.

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 description coverage is 0% for the single product_id parameter, so the description carries the burden of explaining it. 'Return one product's ...' only implies that product_id selects the product; it adds no detail on acceptable format (slug vs UUID), constraints (max 100 chars), or error behavior for unknown ids.

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 states a specific verb (Return) and enumerates the resource payload: method, exact price, schema, sample input, and autonomous purchase contract for one product. It clearly separates itself from mutating siblings like execute_paid_product via 'without spending funds', though it never names the alternatives explicitly.

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?

'Without spending funds' and the title 'Inspect product proof before paying' imply the pre-purchase inspection use case, so the agent can infer when to reach for this over execute_paid_product. However, there is no explicit when/when-not statement or named alternative inside the description itself.

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

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is covered structurally. The description's 'Does not spend funds' adds domain-specific reassurance about money movement that annotations cannot express, but says nothing about rate limits, auth, or failure behavior. Modest added value over the annotations.

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?

Two short sentences, zero filler, with the resource and the return payload front-loaded and the non-spending guarantee placed last as a qualifier. Every clause earns its place.

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?

With no output schema, the description carries the burden of describing return values and does so by listing endpoint, price, payment network and purchase flow. It still leaves the product_id source and the relationship to the paid-execution sibling unexplained, but it is largely sufficient for a single-parameter read 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?

Only one parameter (product_id) with 0% schema description coverage, so the schema does not document it at all. The description's 'for one Bounty Engineer product' conveys that product_id selects a single product, but adds no format, source, or lookup guidance beyond that minimal inference.

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?

States a specific verb ('Return') and resource ('x402 purchase instructions for one Bounty Engineer product'), then enumerates what is returned (endpoint, price, payment network, purchase flow). It contrasts implicitly with the spending siblings via 'Does not spend funds', but never names execute_paid_product or quote_autonomous_purchase, so sibling differentiation is inferred rather than explicit.

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 clause 'Does not spend funds' signals a when-not boundary against execute_paid_product, but the description never states when to prefer this tool over quote_autonomous_purchase or how it feeds into the purchase flow. Usage is implied rather than spelled out.

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

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

Annotations already declare read-only, idempotent, non-destructive, and closed-world behavior. The description adds two valuable guarantees beyond them: no payment is taken and no execution happens against the caller's own data — exactly the reassurance an agent needs before calling a 'price/plan' tool.

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?

Two tight sentences with the deliverables and the safety guarantee front-loaded, no filler. Dense jargon ('one-time pack options', 'prepaid HTTP integration') costs it a point, but nothing is wasted.

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?

With no output schema and a 30-value required enum, the description should explain what the enum selects and what shape the returned recipe takes. It instead only enumerates deliverables, leaving the agent unable to map a request to the correct enum value.

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 description coverage is 0%, so the description carries the full burden, yet it explains neither parameter. 'Exact credits for a batch' loosely gestures at the 'calls' parameter, but the required 'tool' enum — 30 opaque values like 'json-change-set' and 'bounty-intel' — is left entirely unexplained, which is the single most important thing to document.

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 names a concrete resource — published sample input/output plus credit/pack pricing — and the title supplies the intent ('Plan a workflow before buying'). It is clearly a pre-purchase planning tool rather than an executor, though the enumeration of deliverables is more a list of outputs than a crisp statement of purpose.

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 clause 'No payment or own-data execution occurs' implies this is the safe, non-committal step versus siblings like execute_paid_product or quote_autonomous_purchase, but no alternative is named and no explicit when-to-use condition is given. Usage must be inferred from the title.

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

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and closed-world, so the safety profile is fully covered without the description. The description adds only that results carry prices and direct paid endpoints; it says nothing about pagination, filtering, or result size.

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?

A single front-loaded sentence with the verb and resource first, followed by the catalog contents. The long category list is dense but every item carries information about what is listed; there is no filler.

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 parameterless read-only listing tool with no output schema, the description adequately conveys what comes back (products, prices, paid endpoints). It could be slightly stronger by noting how to act on the returned endpoints, but it is otherwise complete.

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 takes zero parameters, so by the baseline rule a 4 applies. Schema coverage is 100% and there are no parameters needing further explanation, leaving nothing for the description to compensate for.

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?

States a clear verb (List) and resource (paid products), and enumerates the product families covered so an agent knows the catalog scope. It does not explicitly distinguish itself from siblings like recommend_paid_tool, which also surfaces products, so it falls short of the top tier.

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?

Usage is only implied: listing the catalog is the natural discovery step before execute_paid_product or quote_autonomous_purchase, but the description never says when to use this versus recommend_paid_tool. No exclusions or prerequisites are given.

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

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

Annotations already declare readOnly/idempotent/non-destructive, and the description usefully confirms the safety profile in domain terms ('free and never spends funds') and enumerates the settlement rails a plan may target. It omits operational detail such as whether quotes expire or how failures surface, so it adds context but not exhaustively.

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?

Two sentences, no filler. The selection behavior and payment rails come first and the free/no-spend guarantee is held to the final clause, so the highest-value information is front-loaded.

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 read-only, idempotent quoting tool with no output schema, the description covers the essential safety and rail context but says almost nothing about the shape of the returned 'executable purchase plan' that the agent must act on, nor about the zero-result or over-budget case. Adequate but with a clear gap.

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 description coverage is 0%, so the description carries the burden, and it does clarify the intent of goal and max_price_usd ('hard USD budget'). However it lists only four rails while the preferred_rail enum also includes direct_solana_sol, and it never mentions the x402 default, leaving meaningful parameter detail undocumented.

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?

States a specific verb and resource ('select one product and return an executable purchase plan') and scopes it with the inputs that drive the selection (agent goal, hard USD budget). The closing line 'never spends funds' cleanly separates it from the execute_paid_product sibling, so an agent can route between quoting and executing without opening either schema.

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 establishes the precondition for use (an agent goal plus a hard USD budget) and implies the planning phase precedes execution by stating the tool is free. It never explicitly names execute_paid_product as the follow-up or states when not to use it, so the routing is inferable rather than spelled out.

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

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

Annotations already establish readOnly=true, idempotent=true, destructive=false, closed-world, so the safety profile is covered. The description adds that this is a spend-gating recommendation step, but says nothing about the shape or confidence of the recommendation returned.

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?

One front-loaded sentence with no filler; the goal input and the pre-spend framing both appear immediately. Could be marginally tighter but nothing is wasted.

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?

Adequate for a one-parameter read tool with annotations, but with no output schema the description gives no hint about what a 'recommendation' contains (product identifiers, ranking, rationale), which an agent needs to chain into the next call.

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?

Single required parameter with 100% schema description coverage, so the schema fully documents 'goal'. The description reinforces that the goal is an autonomous-agent objective, but adds no format or constraint detail beyond the schema's maxLength/minLength.

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?

States a specific verb (choose/recommend) and resource (Bounty Engineer x402 product) scoped to an autonomous-agent goal. It is distinguishable from list_products and execute_paid_product, though it names no sibling explicitly.

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?

"Before the buyer spends money" clearly cues that this is pre-purchase decision support, implicitly positioning it ahead of execute_paid_product/quote_autonomous_purchase. No explicit when-not condition or named alternative, but the sequencing context is clear.

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