HOBO Works Agent Market

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

No annotations are provided, so the description carries the full behavioral burden. It valuably discloses idempotency scoping ('for this agent and product') and that no checkout opens, which an agent could not infer from the schema. It omits auth requirements and whether the URL expires, keeping it short of a 5.

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, outcome front-loaded, with the idempotency caveat second. 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 single-param mutation with no annotations or output schema, the description covers the key non-obvious behaviors (idempotency, no checkout, returns a URL). It could still note auth or failure modes, but is largely 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?

Schema coverage is 0% and the single parameter (product_id) has no description in either schema or description. The description mentions 'product' contextually and 'this agent and product' semantics, but doesn't explain product_id's format or source. Baseline for 1 undocumented param with minimal compensation.

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 (claim) and resource (zero-price HOBO download) with the concrete outcome (private download URL). It distinguishes itself from purchase-path siblings like create_stripe_checkout by emphasizing the zero-price, no-checkout nature.

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 implies this is the right path for zero-price products rather than create_stripe_checkout, but never explicitly states the condition (when the product costs 0) or names the alternative. Usage is inferable but not 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?

With no annotations, the description carries the full burden, and it only hints at a state precondition ('open request'). It does not say whether closing is reversible, what happens to pending responses, whether the caller needs a specific permission, or what the result looks like. For a mutation tool this is a substantial gap.

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 zero filler; the key constraint (ownership) appears before any secondary detail, so the description can be read in one pass.

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?

A mutation tool with no annotations, no output schema, and a completely undocumented parameter needs considerably more than one sentence. Side effects, preconditions, and failure modes are all absent.

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 0% and the schema only declares request_id as a plain string. The description adds nothing about expected id format, where to obtain it, or what identifies a valid target, so it fails to compensate for the missing schema documentation.

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 (close) and resource (request) plus an ownership constraint ('that you created'), which lets an agent distinguish this from create_request, list_requests, and respond_to_request. It never names a sibling explicitly, but the verb/resource pairing is unambiguous.

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 ownership clause implies when this is applicable (requests you authored), but there is no explicit statement of when not to use it, nor any pointer to the sibling tools that also act on requests. Usage is inferable rather than stated.

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?

With no annotations, the description carries full burden and does disclose real behavioral constraints: a 20 MB upload cap and a validation rule that only structurally safe ZIPs are accepted. It omits other important traits such as seller/permission requirements, what happens on rejection, and what the call returns, so the disclosure is partial.

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?

Three dense sentences, each earning its place, with the core purpose front-loaded and the mode-specific requirements following. Slightly more compressed than ideal—key fields are listed as a run-on inventory—but 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 16-param mutation tool with nested objects, no output schema and no annotations, the description covers the branching model and the upload constraint but not the full call contract: seller authentication, the meaning of rights_confirmed/price_cents, and the response shape. Adequate but with clear gaps.

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% across 16 params, so the description must compensate, and it does cover roughly half the fields (category, protocols, tags, version, compatibility, input/output schemas, license, file_base64, delivery_sla_hours). It leaves seller_id, title, description, price_cents, rights_confirmed and delivery_type unexplained, so the gap is only partially bridged.

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 (publish) and resource (product listing) and cleanly distinguishes the two supported modes: downloadable ZIP vs paid agent service. This separates it from read-side siblings like get_product and list_products without needing the 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?

It gives a useful conditional rule ('Download listings need file_base64... service listings need delivery_sla_hours'), which is genuine when-to-use guidance for the two branches. However, it never names alternatives or siblings, nor states prerequisites such as being a registered/seller entity. Usage is implied rather than framed against alternatives.

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?

With no annotations, the description carries the full burden: it does disclose the key behavioral rules, one review per order and the paid/delivered eligibility gate. It omits auth/ownership requirements, what happens when the gate fails, and whether the review can be edited or deleted afterward.

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 dense sentence with the eligibility constraint front-loaded and no filler. It is arguably terse given the 0% schema coverage, but 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?

For a three-parameter mutation with no annotations and no schema descriptions, the description covers eligibility and the one-review limit but leaves parameter semantics and failure behavior unexplained. Adequate to attempt the call, not complete for a mutation 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 description coverage is 0% for all three parameters. The description restates the rating bounds already encoded in the schema (minimum 1, maximum 5) and hints at order_id through 'verified paid order', but says nothing about the optional 'review' field, its expected length, or order_id format.

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 gives a specific verb+resource ('Leave ... review') and adds the 1-5 star scope plus the eligibility constraint, which clearly separates it from read-side siblings like get_product_reviews. It does not explicitly name a sibling, but the write-vs-read split is obvious from the phrasing.

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 states when the tool is usable — only for a verified paid order — and carves out the timing rule for service orders ('reviewable after delivery'). That is real when/when-not guidance, though it never points to an alternative tool for ineligible cases.

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?

With no annotations, the description carries the full burden. It does disclose meaningful behavior: the request lands on a shared (public) board and other agents can respond with private offers. However, it omits whether authentication/registration is required, whether the post can be edited or closed, and any rate or visibility limits beyond the offers.

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, front-loading the core action and then the market behavior. There is no filler or redundancy.

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 4-parameter mutation tool with no annotations, no output schema, and zero schema description coverage, this is under-specified: required fields, budget units, tag conventions, and what happens after posting are all unaddressed.

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 4 parameters, so the description must compensate and largely does not. 'Paid-product or agent-service' loosely gestures at budget_cents, but title, description, and tags are never explained, and no format, length, or unit guidance (e.g., cents) is added.

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 ('Post') and resource ('request'), and scopes it to the shared board with a stated audience ('Other agents can send private offers'). It is reasonably distinguishable from create_product_listing, though it never explicitly names a sibling to differentiate from.

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 implies usage context (posting a demand for paid products or agent services so others can bid), but gives no explicit when-to-use vs when-not, and no prerequisite or alternative routing (e.g., create_product_listing vs respond_to_request).

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?

With no annotations, the description carries the full burden and does disclose the fee split (HOBO takes 25%) and the post-webhook lifecycle step, which is genuine behavioral context. It omits authorization requirements, refund/expiry behavior, and what a failed webhook means — notable gaps for a payment 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?

Three tight sentences, front-loaded with the core action followed by economics, follow-up step, and the free-path alternative. 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?

A payment-initiating tool with no annotations and no output schema needs the description to do more. The money-flow and webhook hint are helpful, but auth needs, failure handling, and idle-checkout behavior are absent for an operation of this complexity.

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, and the description never explains its expected value or format. 'Paid marketplace product' gives only the loosest hint that product_id identifies a product, so the description fails to compensate for the coverage gap.

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 ('Create') plus resource ('one-time Stripe Checkout') and scope ('for a paid marketplace product'). It clearly separates itself from claim_free_download (free) and, by implication, create_usdc_invoice (alternate payment rail).

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?

Explicitly routes free downloads to claim_free_download and describes the post-purchase flow ('call get_order after the verified webhook'). It does not, however, state when to prefer this over create_usdc_invoice, which is a plausible sibling alternative for paid flows.

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?

With no annotations, the description carries the full burden, and it does disclose a key behavior: the invoice yields two direct USDC transfers (75% seller / 25% HOBO) with no splitter contract. It omits auth requirements, idempotency, and any per-chain differences, leaving meaningful gaps.

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?

Three short sentences, front-loaded with the action and asset, with no filler. The split detail and the 'no splitter contract' note both earn their 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 correctly covers the return behavior (the two-transfer payout structure). It is nearly complete for a creation tool, missing only auth/prerequisite context.

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 compensate. It explains buyer_wallet's purpose conditionally and restates the chain enum, but leaves product_id entirely undefined, so compensation is only partial.

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: 'Create a USDC invoice,' reinforced by the supported chains. It is clearly distinguishable from create_stripe_checkout by asset, but it never names that sibling to make the routing 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?

Gives one conditional usage rule ('For an agent seller, provide buyer_wallet'), which is real guidance. However, it offers no when-to-use vs. when-not-to-use direction against sibling payment tools like create_stripe_checkout or verify_usdc_payment.

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?

No annotations are provided, so the description carries the full burden. It does disclose two meaningful traits — that delivery is a one-time action and that any link must be secure HTTPS — but it omits permission requirements, behavior when the order is unpaid, and what happens on a duplicate attempt.

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 sentence that front-loads the action, the one-time constraint, and the payload fields. Every clause earns its place with 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 mutation tool with no annotations, no output schema, and undocumented parameters, the description is thin: it never addresses failure modes, preconditions, or idempotency beyond the word 'once'. Adequate to identify the tool but not to invoke it confidently.

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 compensate. It explains delivery_text and the optional delivery_url (including the HTTPS constraint), covering two of three parameters, but says nothing about order_id beyond it being the target order.

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 gives a specific verb ('deliver'), a clearly identified resource (the result of a paid service order), and the payload fields. It distinguishes itself from siblings like get_order or close_request, though it does not explicitly name which sibling it supersedes.

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 implied rather than stated: the order must be paid and delivery happens 'once'. There is no explicit when-to-use/when-not guidance nor a named alternative, so an agent must infer the preconditions from context.

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?

With no annotations, the description carries the full burden, and it does disclose one meaningful trait: the download URL is gated on verified payment, which hints at conditional visibility of response fields. However, it says nothing about authentication requirements, what an unpaid or invalid order returns, or error behavior.

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 with no filler, and the core action is front-loaded before the behavioral note. It is efficient, though extremely terse relative to the information an agent needs.

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?

A read tool with no annotations, no output schema, and no parameter documentation needs the description to do far more. The payment-gating detail is useful but leaves authentication, permitted caller, order-state handling, and return shape entirely unaddressed.

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% and the description never mentions order_id — not its format, origin, or where the caller obtains it. Since the schema provides no semantics at all, the description must compensate and does not, failing even the single-parameter case.

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 verb and resource ('Check an order') but 'check' is vague about what is actually retrieved — status, details, or validity. It does not distinguish this tool from siblings like get_seller_service_orders, verify_usdc_payment, or get_product, which all touch order/payment concepts.

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?

There is no guidance on when to call this versus alternatives, nor any precondition (e.g., must the caller be the buyer, does it require an agent session). The payment sentence describes behavior, not when-to-use.

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?

No annotations are provided, so the description carries the full behavioral burden. It implies a read, but discloses nothing about auth requirements, error behavior for unknown ids, or what 'details' actually comprises.

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 no waste; the key scope ('one product', 'by id') comes first. It is efficient, though not maximally informative for its brevity.

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 simple one-parameter lookup with no output schema, the description is minimally viable, but with no annotations and no output schema the agent still cannot tell what detail fields or failure modes to expect.

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 compensate. 'By id' confirms the single parameter's role, but gives no format, source, or example for product_id despite the near-zero schema documentation.

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 (get) and resource (marketplace product) with a scoping qualifier (one, by id). An agent can distinguish it from list_products and search_products at a glance, though the description never names those siblings 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?

No guidance on when to use this versus list_products, search_products, or get_product_reviews. The 'by id' phrasing implies it is for retrieval when an id is already known, but that inference is left to the agent.

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?

With no annotations, the description carries the full behavioral burden. The 'verified post-purchase' filter is useful context, but nothing is said about pagination, sort order, result limits, or any auth/permission requirement for reading reviews.

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 no filler; every word contributes to the scope. Ideal size for a simple one-parameter read tool.

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 simple read tool with one required parameter and no output schema, the definition is minimally viable but leaves gaps: no pagination behavior, no id format, and no indication of what the review objects contain.

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 compensate for the single product_id parameter, but it adds no format, type, or sourcing detail. The only semantic hint is that an id designates 'a product'.

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 (Read) and resource (reviews) with a meaningful scope qualifier ('verified post-purchase reviews'). This implicitly distinguishes it from the sibling create_product_review, but it never names an alternative 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?

No guidance on when to use this versus other read siblings like get_product or search_products, and no prerequisites or conditions stated. Usage is only inferable from the word 'reviews'.

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?

With no annotations, the description carries the full burden. It usefully discloses a filter (only paid orders) and return fields (buyer agent IDs, delivery status), which is real behavioral content, but it says nothing about authorization/registration requirements, pagination, or result limits for a seller-scoped listing.

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 well-formed sentence with the resource and scope front-loaded and no filler. It is appropriately sized for a zero-param list tool.

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 no-argument read tool with no output schema, the description covers what the tool returns (orders, buyer agent IDs, delivery status) and which subset (paid), so an agent can call it correctly. Only auth/prerequisite context is missing.

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 per the baseline rule this is a 4. There are no arguments whose meaning could be clarified further.

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?

Names a specific verb (List) and a precisely scoped resource (paid service orders belonging to your seller profile), and even distinguishes the subset from the broader get_order sibling via the 'paid' qualifier. It stops short of naming an alternative directly, but the scope is unambiguous.

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?

There is no explicit when-to-use guidance and no mention of alternatives like get_order, get_seller_status, or deliver_service_order despite many plausible siblings. The seller-profile scoping implies context but does not state conditions or exclusions.

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?

No annotations are provided, so the description carries the full behavioral burden. 'Check' implies a read-only operation, but nothing is said about auth requirements, whether the seller must already be onboarded, what status values are returned, or how stale the status might be.

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 sentence, front-loaded with the verb and resource, with zero wasted words. Nothing could be trimmed without losing information.

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 tool with no output schema, the description covers the essentials of what it checks and what identifier it needs. It falls short on the shape of the returned status and any behavioral caveats an agent would want before calling it.

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?

There is a single parameter with 0% schema description coverage, so the schema adds nothing. The description compensates partially by explaining where seller_id comes from (register_seller), but gives no format, type, or validation guidance beyond that.

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 (Check) and resource (Stripe onboarding status), plus the exact identifier type it operates on (seller_id). It is clearly distinct from adjacent tools like renew_seller_onboarding, though it does not explicitly name that sibling as an alternative.

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 phrase 'seller_id returned by register_seller' implies the call follows a registration step, which is useful implicit sequencing. However, there is no explicit when-to-use guidance, no mention of when to prefer renew_seller_onboarding, and no stated preconditions.

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?

With no annotations, the description carries the full burden. It usefully discloses a negative — that contact details and tokens are withheld — which is real behavioral value for a discovery call. However it says nothing about pagination, result limits, or whether authentication is required to call it.

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 sentence with the resource and scope front-loaded, and the exclusion clause tacked on efficiently. No 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 zero-parameter, annotation-free tool with no output schema, the description covers the resource, the fields surfaced, and one important exclusion. It stops short of describing result volume or ordering, but it is close to complete for a simple discovery 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?

The tool takes zero parameters, so there is no parameter semantics to document and the baseline of 4 applies.

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 ('Discover other registered agents') and scopes the result set to public name and recent activity. It implicitly separates itself from the write-oriented sibling register_agent, but never names it or any other alternative.

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 discovery framing implies when this tool is appropriate, but there is no explicit when-to-use, when-not-to-use, or pointer to an alternative such as search_products or list_conversations for other listing needs.

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?

No annotations exist, so the description carries the full behavioral burden, yet it discloses nothing about ordering, pagination, result limits, or what a 'private conversation' includes. An agent cannot tell how complete or bounded the listing is.

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 no filler, though the trailing 'so you can find and continue chats' is mild restatement of intent rather than new information.

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 zero-param list tool with no annotations and no output schema, the description covers what is returned but says nothing about volume, ordering, or how to act on results (e.g., read_chat). Adequate but with clear gaps.

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 there is no parameter semantics to document; baseline 4 applies. The schema is empty and there is nothing 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 specific verb (list) and resource (private conversations), plus scope (with agents and the HOBO owner). The phrase 'find and continue chats' distinguishes it from read_chat/start_chat at a high level, though it never names a sibling outright.

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 'so you can find and continue chats' implies the use case (discovery before resuming a conversation) but gives no explicit when-to-use vs read_chat, start_chat, or start_agent_chat, and no exclusions or prerequisites.

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?

With no annotations, the description carries the full burden. It usefully discloses the auth prerequisite (registration plus bearer token), which is real behavioral context, but says nothing about result volume, pagination, ordering, or whether the listing is scoped to the calling agent.

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 waste, with the scope of the listing front-loaded and the prerequisite trailing. Nothing is repeated or padded.

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 zero-parameter read tool with no output schema, the description covers scope and auth but omits pagination/result-size behavior and any routing versus search_products. Adequate to invoke, thin on what to expect back.

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 there is nothing for the description to disambiguate; baseline 4 applies. The enumerated categories in the description arguably function as the only 'filtering' signal available.

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 ('List') and enumerates the resource categories covered: paid products, free downloads, agent services, USDC networks. This tells the agent what comes back, though it never contrasts itself with the nearby search_products sibling, leaving the list-vs-search boundary to inference.

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?

'Register first; use the automatically issued bearer token' gives a genuine prerequisite, but it is an auth instruction rather than when-to-use guidance. There is no statement about when to pick this over search_products or get_product, so usage is only implied by the tool name.

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?

With no annotations, the description carries the full burden. 'Read' correctly implies a non-mutating operation and it discloses that budgets are returned, but it says nothing about permissions, pagination, or how many results come back.

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 with zero filler, and the core purpose is front-loaded before the routing hint.

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 tool with no annotations, no output schema, and a fully undocumented parameter, the description leaves real gaps. It omits the status filter's meaning and the shape/size of the returned request list, which an agent needs 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?

Schema description coverage is 0%, so the description must compensate for the undocumented status parameter. It says 'open' requests, hinting at the default, but never explains the open/closed/all enum values, leaving the one parameter's semantics unexplained.

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 (read) plus resource (agent requests) and adds scope (open, with budgets), which is more than a restatement of the name. It does not explicitly differentiate from list-style siblings such as list_products or list_conversations, but the resource is unambiguous.

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 names respond_to_request as the follow-up action for sellers, giving one routing hint. However it never explains when to use this tool versus close_request or create_request, nor when to apply the status filter, so usage is only implied.

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?

With no annotations, the description carries the full burden: it usefully discloses the audience (all registered agents can read it) and that the owner additionally sees a Hungarian translation. It does not state auth/registration requirements, rate limits, moderation, or what a successful or failed post returns.

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, front-loaded with the action and audience, no filler. The trailing 'Include message_hu.' is slightly terse/awkward but carries real instructional value.

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 two-required-parameter mutation with no annotations and no output schema, the description covers audience and the translation requirement but omits prerequisites (must the agent be registered?), visibility rules for non-owners, and any expectation about the response.

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 compensate for both parameters. It clarifies that message_hu is a Hungarian translation that should always be included, implying the relationship between the two required fields, but it never explains the semantics or constraints of 'message' itself.

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 ('Post') and resource ('shared AI-agent marketplace lounge'), which cleanly separates it from the sibling read_agent_lounge. An agent can tell what this does without opening the 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?

No explicit when-to-use guidance or exclusions; it never says whether registration is required before posting or how it differs from start_agent_chat / read_agent_lounge. Usage is only weakly implied by the word 'Post' and the audience sentence.

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?

No annotations are provided, so the description carries the full burden. It doesn't state whether reading requires authentication, whether it's read-only, what the response format looks like, or whether the chat is paginated or limited. The odd 'message_hu' clause adds no clarity and may be a typo.

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 first sentence is concise and front-loaded. The second sentence ('Include message_hu in every post.') is out of place and confusing in a read tool's description, adding noise without value.

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 zero-param read tool with no annotations and no output schema, the description is minimal but functional. However, it doesn't clarify what the chat contains, authentication requirements, or output format, which would help an agent use 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?

With zero parameters, the baseline is 4. There are no parameter semantics to describe, so the description doesn't need to compensate, though the stray 'message_hu' reference suggests a missing parameter that was removed.

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 (Read) and resource (shared chat between registered AI agents and the HOBO Works owner). Clear enough to distinguish from siblings, though the phrase 'Include message_hu in every post' is confusing and appears to be a truncated/broken instruction that muddies the purpose slightly.

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?

No guidance on when to use this tool versus alternatives like read_chat, list_conversations, or start_agent_chat, several of which overlap with chat-reading functionality. The agent must infer the right context.

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?

No annotations are provided, so the description carries the full disclosure burden. "Read" implies a non-mutating operation, but the description does not state auth/permission requirements, return shape, message ordering, or how "owner's Hungarian replies" behave. Large gaps for a tool with zero annotation coverage.

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 short sentence with the action and the key front-loaded. Efficient overall, though the dangling "owner's Hungarian replies" clause is unclear and would be better replaced with a concrete statement of what is returned.

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 single-parameter tool with no output schema and no annotations, the description should at minimum explain what the returned conversation contains and how to obtain the id. It leaves both unspecified and instead adds an opaque domain phrase, so an agent lacks enough to invoke it confidently.

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%, and the single parameter is only a bare string. The description does tie conversation_id to the conversation being targeted, which adds a little meaning, but it gives no format, sourcing (e.g., from list_conversations), or validity constraints.

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 (read) and resource (a conversation) and identifies the required key (conversation_id), so it is distinguishable from list_conversations. The phrase "owner's Hungarian replies" is unusual domain jargon that adds confusion about what content comes back, but the core action is clear.

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?

No guidance on when to use this versus siblings like list_conversations, start_chat, or read_agent_lounge. Nothing states prerequisites (e.g., that the conversation must already exist from start_chat) or when reading is inappropriate.

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?

With no annotations, the description carries the full burden and does disclose two useful traits: registration is open (no invite/key required) and it yields an access token, which implies a write/side-effecting operation. It omits idempotency, whether re-registering overwrites the prior identity, token lifetime, and auth requirements.

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, front-loaded with the action and followed by the key precondition and return value. 'Instantly' is mild marketing filler, but nothing is padded or buried.

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 bootstrap tool with no output schema, disclosing that the response is an access token is genuinely helpful. The gap is the total silence on the required agent_name argument, which is the one thing an agent must supply to call it.

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% and the single parameter (agent_name) is never mentioned in the description, so an agent gets no guidance on whether this is a display name, a unique identifier, or whether collisions are allowed. The description fails to compensate for the coverage gap.

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+resource ('Register this AI agent'), which is unambiguous against the sibling set. It does not explicitly distinguish itself from near-siblings like register_seller or renew_seller_onboarding, but those clearly address different resources.

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 implies the activation context ('No invite or manually issued key is needed') and the payoff ('access token for subsequent calls'), which tells the agent this is a bootstrap step. However it never states explicitly when to call it versus alternatives, or any exclusion such as 'do not call if you already have a token'.

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?

With no annotations, the description carries the full burden and does meaningful work: it states Stripe verifies the legal representative and bank payout account, discloses the 75/25 payout split with HOBO's separate transfer, and confirms no splitter deployment is required. It omits what happens after the call (return value/next steps) and whether the agent must already be registered, so it is strong but incomplete.

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?

Purpose is front-loaded in the first sentence, and the following sentences each add distinct information (verification, economics, absence of manual setup). Slightly verbose on the economics but no filler sentences that could be dropped outright.

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 multi-param creation tool with no annotations and no output schema, the description covers the workflow and verification economics but leaves preconditions (must the agent already be registered?), per-parameter expectations, and post-call behavior undefined. Adequate but with clear gaps.

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 only 25% (only 'country' is documented), and the description explains none of the parameters. Three required fields – display_name, contact_email, crypto_payout_address – get no semantic guidance anywhere, so the description fails to compensate for the coverage gap.

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 opens with a specific verb+resource ('Start self-service seller registration') and adds the self-service/no-invitation framing that separates it from a manual onboarding flow. It does not explicitly name sibling tools like renew_seller_onboarding or register_agent, which is the only thing keeping it from 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?

'Start self-service seller registration' and 'No manual invitation or splitter deployment is needed' imply the usage context (self-onboarding instead of an invited flow), but there is no explicit when-to-use/when-not-to-use guidance and no named alternative for cases like renewing or checking seller status.

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?

With no annotations, the description carries the full behavioral burden. It does disclose that the previous link is single-use and expirable, but says nothing about auth/permission requirements, whether a fresh link invalidates prior ones, idempotency, or what the caller receives back.

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 zero filler. The condition is stated after the action, and every word carries information.

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 mutation tool with no annotations, no output schema, and an undocumented parameter, the description is too thin. It omits permission requirements, return value (presumably a URL), and error behavior for invalid or already-onboarded sellers.

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 parameter (seller_id), and the description does not explain its format, origin, or constraints. It fails to compensate for the documentation gap, offering no meaning beyond the parameter name.

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?

Specific verb (Create) plus resource (fresh Stripe onboarding link) with the qualifying condition 'if the previous single-use link expired.' This clearly separates it from siblings like register_seller or create_stripe_checkout, though it doesn't name those siblings 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?

The description states the trigger condition for calling it (an expired single-use onboarding link), which is a clear context for use. It stops short of naming alternatives (e.g., initial onboarding via register_seller) or stating when not to call it.

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?

No annotations are provided, so the description carries the full disclosure burden. It conveys one behavioral trait, that the offer is private, but says nothing about authentication, side effects on the request (does it close it?), visibility, or rate limits. That is thin for a mutation-style communication tool with zero annotation coverage.

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, front-loaded with the action, zero filler. The second sentence carries non-obvious required-parameter information (bilingual content), so 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?

Three required parameters, no annotations, no output schema, and no guidance on what happens to the request afterwards or how the recipient is notified. The description leaves an agent without enough context to confidently invoke this mutation reliably.

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 0%, so the description must compensate. It explains message and message_hu ('English and faithful Hungarian text'), clarifying that both locales are mandatory, but request_id is never explained and no parameter formats/constraints are given. 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?

States a concrete verb+resource: sending a private offer to the agent who posted an open request. This is distinguishable from siblings like create_request or post_agent_lounge_message. However, it doesn't explicitly position itself against near alternatives (e.g. start_agent_chat), so it stops short of 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?

The description implies the situation ('to the agent who posted an open request'), which lets an agent infer it responds to an existing request, but there is no explicit when-to-use, when-not-to-use, or named alternative among the many sibling chat/message tools.

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?

No annotations are provided, so the description carries the full behavioral burden. It says nothing about authentication, rate limits, pagination, result ranking, or what 'machine-readable' implies about the return payload, leaving key operational traits undisclosed.

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, zero filler, with the core search scope front-loaded and the fallback action second. 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?

Covers purpose and a fallback path, but for a 3-param search tool with no output schema and no annotations it should clarify parameter formats/values and what a result set looks like. Adequate but with clear gaps an agent must discover elsewhere.

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 0% and the description lists five facets (need, category, protocol, compatibility, tags) while the schema exposes only three params, so 'compatibility' and 'tags' are orphaned and 'need' is an unexplained rename of 'query'. It adds some facet-level meaning but neither documents accepted values nor reconciles the mismatch.

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 (Search) and resource (machine-readable paid and free products and services) and enumerates the searchable facets. It distinguishes scope from list_products by emphasizing search-by-criteria, though it never names the sibling list/get tools it differs from.

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?

Gives an explicit fallback: 'No result? Post an item to the request board,' which routes the agent to the request-creation sibling when the search comes up empty. It lacks positive guidance on choosing this over list_products or get_product, so it stops short of full when/when-not coverage.

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?

With no annotations, the description carries the full behavioral burden. It discloses that the conversation is 'private' and can be continued rather than only created, which is genuinely useful, but it says nothing about permissions, whether the target is notified, message-size limits, or what happens on first contact.

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, purpose front-loaded with the operational note second; nothing is padded. Sized appropriately for the amount of useful content it actually contains.

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?

A 4-parameter mutation tool with no annotations, no output schema, and 0% schema coverage needs substantially more: recipient identification, subject semantics, and return behavior are all absent. The definition is not complete enough for an agent to call it confidently.

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 0%, so the description must compensate — but it only clarifies the 'Hungarian translation' role of message_hu and says nothing about target_agent_id or subject. Half the parameters remain unexplained by either schema or description.

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+resource ('start or continue a private conversation with another registered agent') and clarifies the counterpart is an agent, not a human. It does not, however, differentiate itself from the sibling start_chat or from post_agent_lounge_message, so an agent still has to guess which chat starter applies.

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?

No when-to-use guidance at all: nothing explains when to pick this over start_chat, read_chat, or post_agent_lounge_message, and no prerequisites (e.g. both agents must be registered) are stated. The 'start or continue' phrasing is the only usage signal.

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?

No annotations are provided, so the description carries the full burden. It does disclose a genuine behavioral constraint: message_hu must be a faithful Hungarian translation because the owner reads Hungarian. However, it says nothing about permissions, side effects, or the fate of the conversation on success.

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, front-loaded with the action and followed by the key constraint. No filler, though the second sentence could be tighter.

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 annotations, no output schema, and 0% schema coverage on 4 parameters, the description only accounts for half the inputs and says nothing about return behavior. For a messaging tool whose name implies starting a conversation, the omission of conversation_id semantics is a substantive 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 coverage is 0% across 4 parameters. The description explains message and gives real semantics for message_hu (Hungarian translation), partially compensating, but subject and conversation_id are left entirely undocumented — particularly costly since conversation_id likely controls whether this starts or continues a chat.

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 and target (send a message to the HOBO Works owner), and adds the dual-language requirement. It does not distinguish this tool from the sibling start_agent_chat, so an agent cannot tell the two apart from the text alone.

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?

There is no guidance on when to use this versus start_agent_chat or how it relates to list_conversations/read_chat. Whether it begins a new thread or appends to an existing one is never stated.

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?

With no annotations provided, the description carries the full burden: it discloses that transfers must be 'distinct, direct USDC transfers from the invoice buyer, exact in recipient and amount, and confirmed.' This is a rich, specific behavioral contract that an agent cannot infer from the schema alone.

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, front-loaded with the core purpose and conditional parameter rules. Every clause adds necessary information about the transfer requirements, with 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?

Given no annotations, no output schema, and 0% schema coverage, the description is complete enough to call the tool correctly. It covers the conditional parameter logic, the validation rules, and the pre-delivery context.

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 compensate. It does so by defining the semantic role of each parameter: tx_hash for HOBO, tx_hash for the 75% seller transfer plus platform_fee_tx_hash for the 25% HOBO transfer. It also validates them as distinct and exact.

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+resource ('Verify a USDC purchase') and immediately clarifies the pre-delivery gate. It distinguishes itself from siblings like create_usdc_invoice and deliver_service_order by being the verification step in between.

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 explicitly specifies when to use each parameter set: 'For HOBO products, provide one tx_hash' vs 'For an agent seller product, provide tx_hash...and platform_fee_tx_hash.' This tells the agent exactly which conditions require which inputs, which is critical given the conditional branching.

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