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Glama

Jithox Commerce Preflight

Server Details

Provider-neutral, read-only commerce preflight with UCP/ACP checkout evidence. Never orders.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL

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Tool DescriptionsA

Average 4.5/5 across 5 of 5 tools scored.

Server CoherenceA
Disambiguation5/5

Each tool addresses a distinct concern: search, single-offer retrieval, offer comparison, affiliate link building, and readiness self-description. Even the dual-role get_product_offer (offer or checkout evidence) is clearly separated by input pattern, not overlapping with other tools.

Naming Consistency5/5

All tool names follow the consistent verb_noun pattern in lowercase snake_case: search_, get_, compare_, build_. This makes the toolset predictable and easy to navigate.

Tool Count5/5

Five tools is a well-scoped size for a preflight commerce evidence server. Each tool earns its place and there is no bloat or redundancy.

Completeness5/5

The domain is preflight evidence (no ordering/payment), and the set covers search, offer lookup, comparison, affiliate link, and readiness introspection. This is a complete lifecycle for the stated purpose with no obvious gaps.

Available Tools

5 tools
compare_product_offersCompare offers as a value tableA
Read-only
Inspect

Compare current offers for 2–5 EANs as a VALUE TABLE ordered by a stated criterion (price ascending). One unreadable offer makes the whole table 'unavailable' — no partial table is sold as a comparison. A table, never a ranking sold as advice, never a 'best product'. Answers come from the queried source at the stated retrieval time — a UCP or ACP merchant, a partner catalog source, or a clearly-labelled synthetic fixture in dev/test; provenance.sourceAuthority names which, and every answer carries the markets that source declares. Preflight evidence only — this server never places, modifies or cancels an order and never touches a payment; the merchant stays merchant of record.

ParametersJSON Schema
NameRequiredDescriptionDefault
eansYesEANs to compare; a comparison needs at least 2 (fewer returns 'insufficient_identifiers').

Output Schema

ParametersJSON Schema
NameRequiredDescription
dataYes
billingYes
productYes
receiptYes
decisionYes
retryableYes
capabilityYes
provenanceYes
generatedAtYes
limitationsYes
schemaVersionYes
receiptEnvelopeNo
decisionCategoryYes
Behavior5/5

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

Beyond the read-only and non-destructive annotations, the description discloses important behaviors: an unreadable offer makes the entire table unavailable, data comes from specific source types with provenance, and the server never executes orders or payments. This adds substantial context beyond 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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the core purpose and then adds details on failure modes, source provenance, and safety. It is a bit extensive, but every sentence adds value. Minor redundancy exists in restating 'table, never a ranking' and 'never a best product'.

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

Completeness5/5

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

Given the output schema exists, the description need not explain return values. It covers edge cases (unavailable table), data source diversity, and transactional boundaries. The completeness is high for a tool with one parameter and rich annotations.

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

Parameters5/5

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

While the schema covers the EAN format and count, the description adds critical semantics: a comparison requires at least 2 EANs despite minItems=1, and it explains the output ordering criterion (price ascending). This goes beyond schema documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool compares offers for 2-5 EANs and outputs a value table. It explicitly differentiates from sibling tools by focusing on comparison, not single offers or searches. The verb 'compare' and specific resource 'offers for EANs' are concrete.

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

Usage Guidelines4/5

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

The description gives clear when-to-use context: comparing 2-5 EANs. It also provides when-not guidance: never places/modifies/cancels orders and never touches payments, and clarifies it is not a ranking or advice. However, it does not explicitly name alternative tools, so it stops short of a 5.

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

get_commerce_readinessCommerce readiness snapshotA
Read-only
Inspect

One plain state of THIS server: which commerce provider is configured, which protocols this deployment speaks (UCP profile discovery + negotiation; the ACP REST checkout format), what each protocol still needs before live evidence exists, and the affiliate state. 'ready' / 'not_configured'. Truthful self-description, never a claim about any merchant. Preflight evidence only — this server never places, modifies or cancels an order and never touches a payment; the merchant stays merchant of record.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

Output Schema

ParametersJSON Schema
NameRequiredDescription
dataYes
billingYes
productYes
receiptYes
decisionYes
retryableYes
capabilityYes
provenanceYes
generatedAtYes
limitationsYes
schemaVersionYes
receiptEnvelopeNo
decisionCategoryYes
Behavior5/5

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

Beyond the readOnlyHint and destructiveHint annotations, the description explicitly states that this server never places, modifies, or cancels orders and never touches payments, and that the merchant remains merchant of record. This adds valuable behavioral disclosure that is not present in the structured annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, dense paragraph that packs in a lot of information without being overly long. It is front-loaded with the core purpose ('One plain state of THIS server') and each clause contributes meaningful detail. Slightly less concise than a two-sentence example but appropriate for the complexity.

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

Completeness5/5

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

Given the tool has no parameters, rich annotations, and an output schema, the description is complete. It covers the tool's scope (what it reports), its safety guarantees, and its role as a preflight check. It does not need to enumerate return values because the output schema exists, and the description fully compensates for any missing details.

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

Parameters4/5

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

The tool has zero parameters, so the baseline is 4. The description adds meaning by explaining what the tool reports (provider, protocols, needs, affiliate state, ready status), even though no parameter details are needed. It helps the agent understand the output's conceptual structure.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: to report the server's commerce readiness state, including provider configuration, protocols, and affiliate state. It uses specific terminology (UCP, ACP) and distinguishes itself from sibling tools (e.g., build_affiliate_buy_link, compare_product_offers) by focusing on server-level status rather than product/offer actions.

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

Usage Guidelines4/5

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

The description implies usage context: use before live evidence is available ('preflight evidence only') and as a read-only check. It does not explicitly name alternatives or when not to use, but the scope is clear enough to infer that it's for assessing the server's readiness rather than performing merchant actions.

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

get_product_offerGet one product's current offer or checkout evidenceA
Read-only
Inspect

Report one product's current offer from the queried source (price in integer minor units, availability, provenance) — or, given a merchant host plus the merchant's own itemId, prepare/re-check NORMALIZED CHECKOUT EVIDENCE over the merchant's declared UCP/ACP checkout data: items, currency, subtotal, discount, tax, fees, shipping, total, fulfillment, policy links, expiry and an evidence hash, with bounded truth states 'verified' / 'changed' / 'unsupported' / 'unavailable' / 'unverified'. Pass priorEvidence (component hashes from an earlier answer) to detect price/stock/shipping/terms changes between preparation and re-check. 'verified' means fetched, parsed and internally consistent — never 'safe', never 'approved', never a guarantee the merchant honors the quote. A price is never guessed. Answers come from the queried source at the stated retrieval time — a UCP or ACP merchant, a partner catalog source, or a clearly-labelled synthetic fixture in dev/test; provenance.sourceAuthority names which, and every answer carries the markets that source declares. Preflight evidence only — this server never places, modifies or cancels an order and never touches a payment; the merchant stays merchant of record.

ParametersJSON Schema
NameRequiredDescriptionDefault
eanNoEAN/GTIN of the product.
itemIdNoThe merchant's own item id (required with merchant).
merchantNoA merchant hostname for checkout evidence (must be on this deployment's allowlist or served by a configured provider).
quantityNoQuantity for the checkout evidence quote (default 1).
priorEvidenceNocomponentHashes from a prior evidence answer — presence turns this call into a re-check with per-component change detection.
publicRecordIdNoA public record id from a prior search.

Output Schema

ParametersJSON Schema
NameRequiredDescription
dataYes
billingYes
productYes
receiptYes
decisionYes
retryableYes
capabilityYes
provenanceYes
generatedAtYes
limitationsYes
schemaVersionYes
receiptEnvelopeNo
decisionCategoryYes
Behavior5/5

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

Annotations already signal read-only, open-world, non-destructive; the description adds meaningful behavioral context: bounded truth states, 'never safe/approved/guarantee', price never guessed, provenance source naming, and server-side limitations (no order/payment actions). This goes well beyond 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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single dense paragraph with many clauses; it leads with the main action but packs in caveats (truth states, provenance, safety) that could be structured. It remains informative and not redundant with schema.

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

Completeness5/5

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

For a complex tool with 6 params, nested objects, and an output schema, the description covers the tool's dual modes, expectations, safety boundaries, and change-detection behavior, leaving little ambiguity. Output schema covers return values.

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

Parameters4/5

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

Schema covers 100% of params with descriptions. The tool description adds context on priorEvidence's role (re-check with change detection) and merchant allowlist requirement, but otherwise relies on schema for individual parameter semantics—a solid improvement over the baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states the tool reports one product's current offer or prepares/re-checks normalized checkout evidence, with specific data points (price, availability, provenance, truth states). This clearly distinguishes it from siblings like search_retail_products (searching) and compare_product_offers (comparing).

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

Usage Guidelines4/5

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

It explains two distinct invocation modes (offer vs checkout evidence) and the condition for re-check (passing priorEvidence). It provides context for preflight use and states the server never places orders, but it does not explicitly contrast with sibling tools or state when not to use it.

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

search_retail_productsSearch retail productsA
Read-only
Inspect

Search the queried retail source by free text or EAN. Returns CANDIDATE public records with deterministic match kinds and visible ambiguity: 'exact_public_record' / 'possible_match' / 'multiple_matches' / 'no_match_in_queried_source' — a no-match is never 'not sold', only 'not in the source we queried'. A provider without a search surface → 'unsupported'; outage → 'unavailable'; unconfigured source → 'not_configured' (costs nothing). Answers come from the queried source at the stated retrieval time — a UCP or ACP merchant, a partner catalog source, or a clearly-labelled synthetic fixture in dev/test; provenance.sourceAuthority names which, and every answer carries the markets that source declares. Preflight evidence only — this server never places, modifies or cancels an order and never touches a payment; the merchant stays merchant of record.

ParametersJSON Schema
NameRequiredDescriptionDefault
eanNoEAN/GTIN for an exact lookup.
queryNoFree-text search (title/brand).

Output Schema

ParametersJSON Schema
NameRequiredDescription
dataYes
billingYes
productYes
receiptYes
decisionYes
retryableYes
capabilityYes
provenanceYes
generatedAtYes
limitationsYes
schemaVersionYes
receiptEnvelopeNo
decisionCategoryYes
Behavior5/5

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

The description greatly exceeds the annotations by detailing match kinds, special statuses (unsupported/unavailable/not_configured), provenance via sourceAuthority, market declarations, retrieval time, and a clear guarantee that no orders or payments are ever placed. This adds significant behavioral context beyond readOnlyHint and openWorldHint.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is long but each sentence contributes substantive information about edge cases and behaviors. It is front-loaded with the core action and then organizes details logically. A minor parenthetical like '(costs nothing)' could be trimmed, but there is no redundancy or wasted prose.

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

Completeness5/5

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

The description comprehensively covers return types, status conditions, provenance, safety scope, and source behavior. Given the presence of an output schema, the description does not need to reiterate return fields. It leaves no significant gaps for an AI agent to misuse the tool.

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

Parameters3/5

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

The schema already documents both parameters (ean and query) with full coverage (100%). The description only mentions 'free text or EAN' which repeats the schema, without adding deeper semantics like when to prefer one over the other or accepted formats. Baseline 3 is appropriate since the schema carries the burden.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool searches the queried retail source by free text or EAN, and specifies the deterministic match kinds returned. It distinguishes itself from siblings by focusing on preflight candidate search rather than offer comparison or link building.

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

Usage Guidelines4/5

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

The description provides clear context on when to use the tool: for searching a retail source and obtaining candidate public records, with explicit note that 'no_match' means 'not in the queried source' rather than 'not sold'. It does not explicitly name alternatives, but the preflight-evidence scope implies it is for initial search before other commerce operations.

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

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