Wedding Gift Board – hand-picked gift ideas

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

Annotations already establish that this is a write operation (readOnlyHint=false) in an open world. The description adds useful context: the editToken authorization requirement and where it comes from. That said, it does not address what happens on a duplicate item, a missing board, or an invalid token, so it adds context without adding depth.

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 prerequisite front-loaded after the core action. The brevity is appropriate for the format, though the second sentence packs in a reference to "create", which is ambiguous about which sibling it means.

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?

The tool is a nine-parameter mutation with low schema coverage and no output schema. The description omits the meaning of the item-identifier parameters and what the call returns, which is too large a gap for an agent to write a correct call from.

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 schema has 22% description coverage, with nine parameters including optional fields like url, asin, emoji, title, catalogId and searchKeywords that the description never mentions. The description explains only editToken, leaving an agent unable to tell which identifiers are alternative ways to describe the item or which fields are optional. It does not compensate for the low coverage.

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

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

The description names a specific verb and resource: adding an item to a wedding gift board. It is clear what the tool does, but it does not differentiate itself from the nearby sibling create_and_fill, which might also populate a board with items.

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 "Requires editToken from create" gives a concrete prerequisite and implies the board must already exist, but the description never says when to use add_item instead of create_and_fill or create_wishlist. An agent must infer the choice from sibling names.

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?

The annotations already declare readOnlyHint=true and openWorldHint=false, so the main safety and world-access traits are covered. The description adds useful return context ('/dp buyUrl, price and image') and says results are live-verified, but it does not explain pagination, the limit behavior, or other operational details.

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 description is two sentences, front-loads the product/marketplace scope, and then covers return fields and filters without wasted wording. Every clause carries relevant 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 six-parameter browse tool with no output schema and low schema description coverage, the description covers the core return shape and four filters. However, it leaves out limit behavior and gives no guidance relative to search_gifts, so an agent can call it but may not always know when this is the right 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 only 17%, so the description should compensate. It names the q, occasion, budgetBand, and styleTag filters and implies marketplace selection, but it omits the limit parameter and does not clarify filter semantics beyond what the enum schema already provides.

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 clearly states that the tool returns curated wedding gift products from amazon.se or amazon.com and lists the key item fields. It does not distinguish this tool from the sibling search_gifts, so an agent must infer the browse-vs-search boundary.

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 mentions optional q/occasion/budgetBand/styleTag filters but gives no explicit guidance about when to use browse_catalog instead of search_gifts or other siblings. There are no exclusions, prerequisites, or alternative-selection rules.

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

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

Annotations already flag a non-read-only, open-world operation, and the description usefully adds the return contract (shopUrl share link + ownerUrl) and the default-resolution rule for marketplace/locale. It says nothing about idempotency, duplicate-board behavior on retry, failure modes when item sources are empty, or external-service rate limits — meaningful gaps for a one-shot mutation that hits an external marketplace.

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 front-loaded 'One call' claim is good, but the second sentence restates it ('One-shot: create a wedding gift board and fill...'), wasting space, and 'defaults as described' is a vague pointer. Dense but partly redundant for a three-sentence description.

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?

Eleven parameters, no output schema, and no required fields make this a high-complexity tool, yet the description explains only the marketplace/locale defaults and the two returned URLs. Missing is how to compose a valid call — whether any personalization field is needed, what happens with zero item inputs, and how the optional curation fields interact — which is exactly what an agent needs before invoking 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 coverage is only 18%, so the description must carry the load and it only partially does: 'fill from ASINs/keywords/queries' maps onto itemAsins/itemKeywords/itemQueries, but leaves unexplained whether those three are alternatives or combined, and says nothing about occasion, styleTags, budgetBand, coupleNames, recipientName, or weddingDate. With 11 all-optional parameters and no required inputs, an agent has no guidance on which fields materially shape the board.

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 curated wedding gift wishlist) plus the outcome (shopUrl/ownerUrl), and the 'one-shot' framing implicitly sets it apart from the create_wishlist + add_item pair in the sibling list. It never names those siblings explicitly, so the differentiation is inferred rather than stated.

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?

'One-shot: create a wedding gift board and fill from ASINs/keywords/queries' implies you should pick this when you want creation and population in a single step, and gives the marketplace/locale condition ('amazon.com for US users, amazon.se for Sweden'). There is no explicit when-not or named alternative against create_wishlist and add_item, which is the main routing decision an agent faces here.

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

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

Annotations already declare readOnlyHint=false and openWorldHint=true, so the write/external-effect profile is covered. The description adds genuine value by naming the returned fields, including editToken (implying a privileged editing credential), and by explaining the locale/marketplace defaulting rule. It does not say whether repeated calls create duplicate boards, whether the board is public, or what happens on partial failure.

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 purpose and returns, which is good structure. However 'optional, defaults as described' is filler that defers back to the schema without adding information, and the marketplace parenthetical is verbose for what it conveys.

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 9-parameter, zero-required creation tool with no output schema, the description covers the return shape but leaves most inputs unexplained, including the entire items structure that determines whether the board starts populated. It also omits behavioral facts an agent needs, such as whether an empty call is valid and whether editToken must be stored.

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 only 44%, and the description covers just the two parameters that the schema already documents well (marketplace, locale). The items array and its seven undocumented sub-fields (url, asin, name, emoji, title, catalogId, searchKeywords) get no explanation, and neither do occasion, styleTags, budgetBand, coupleNames, or weddingDate. With low coverage the description should compensate, and it does not.

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 couple wedding gift board', and enumerates the return fields (id, editToken, coupleUrl, guestUrl), so the agent knows what it will get back. It does not distinguish itself from the sibling create_and_fill, which by name sounds like an overlapping create-and-populate operation, nor from add_item.

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 statement of when to use this tool rather than create_and_fill, add_item, or browse_catalog. The only guidance is about marketplace/locale defaulting, which is parameter-level, not tool-selection-level. The agent is left to infer that this is the empty-board creation path.

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

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds real value by disclosing the specific subsystems probed (storage, paapi, tag configuration, link mode, marketplace counts) and noting the return shape varies by marketplace configuration. It doesn't mention auth requirements or performance, but for a read-only diagnostic that is minor.

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 purpose before the field list, with zero filler. The field enumeration is dense and uses internal jargon (paapi, linkMode) without gloss, which slightly hurts readability but does not waste space.

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 carries the burden of explaining return values and it does list the keys. However, it only names them without saying what values to expect or what a healthy vs. unhealthy response looks like, which is the main thing an agent needs from a health check.

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 explain and the baseline is 4.

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 ('Health check for Wedding Gift Board') and enumerates what the check reports, so an agent immediately knows this is a diagnostic endpoint rather than a data-mutating or catalog tool. It doesn't name a sibling, but none of the siblings (add_item, browse_catalog, resolve_product, etc.) is confusable with a health check.

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

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

Usage is only implied: 'health check' conventionally means 'call this to verify connectivity/configuration before or after other operations.' There is no explicit statement of when to use it, when not to, or what to do with a failing result, and no mention of the other tools it might gate.

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

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

Annotations already declare readOnlyHint and openWorldHint, so safety profile is covered. The description adds a note about curated catalogs on amazon.se and amazon.com, which hints at result quality differences, though the phrase "curated catalogs" is vague and return shape/pagination is not described.

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, no filler. The trailing "Curated catalogs" clause is terse to the point of ambiguity, which keeps it from a 5.

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 parameters, no output schema, and annotations covering the read-only envelope, the definition supplies what an agent needs: what is listed and how to use the result. The omission of the actual response fields is minor since identifiers are exemplified inline.

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 the baseline is 4. The description usefully documents the marketplace identifier format (amazon.com for US, en-US) that the output feeds into other calls, which adds meaning beyond an empty schema.

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?

"List supported Amazon storefronts" is a specific verb+resource, and the second sentence makes clear the returned value is a marketplace identifier to reuse. It does not explicitly contrast with siblings like browse_catalog, but the resource is distinct enough that confusion is unlikely.

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?

"Pick the user's marketplace and pass it on search/resolve/create" gives explicit downstream usage and names the consuming tools. There is no when-not guidance, but for a zero-param discovery call the workflow instruction is clear.

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

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

Annotations already declare readOnlyHint and openWorldHint, and the description adds the deterministic defaulting rule (en-US Accept-Language → amazon.com, otherwise amazon.se), which is genuine behavioral context. However, it never describes what is actually returned or what happens when keywords must be searched rather than an ASIN resolved, leaving the resolution behavior opaque.

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 transformation performed, then the parameter defaults. Minor redundancy: the marketplace/locale defaults are effectively stated twice within the same span.

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?

The description clarifies inputs and output shape for a read-only resolver with no output schema, which is most of what an agent needs. But with seven optional parameters and no required ones, leaving occasion and styleTag entirely unexplained means an agent cannot confidently decide whether to pass them or omit them.

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 71%, so the baseline is 3. The description's marketplace/locale note largely restates the schema text for those two properties, and it says nothing about the two enum parameters occasion and styleTag, whose role in a resolver tool is genuinely non-obvious.

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 first sentence gives a specific verb (resolve) plus the accepted input forms (ASIN, /dp URL, keywords) and the output (marketplace URL), so the resource is unambiguous. It does not name or contrast a sibling such as search_gifts or browse_catalog, which keeps it 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?

It gives concrete guidance on how to pick marketplace/locale per user region and states both are optional, which is useful in-call guidance. It never says when to choose this tool over search_gifts or browse_catalog, nor when not to use it, so the 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?

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds genuinely useful default-resolution logic ('omitted means en-US Accept-Language → amazon.com, else amazon.se'), but says nothing about result format, ranking, or failure behavior for a network-dependent search.

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, then the parameter guidance. Slightly dense parenthetical but no wasted prose.

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 7-parameter search with no output schema and 43% coverage, the description covers the geographic/defaulting dimension well but leaves the filtering dimensions (occasion, styleTag, budgetBand) unexplained. An agent can call it, but cannot confidently reason about how those filters change results.

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 43%, and the description compensates for the two hardest parameters by explaining marketplace and locale aliasing and defaults. However, occasion, styleTag, budgetBand and limit are left entirely to the schema, and their semantics (especially how styleTag influences retrieval) are never enriched.

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: 'Search Amazon for wedding / registry gifts'. It is distinguishable from browse_catalog and resolve_product by being a query-driven gift search, though it never names those siblings to sharpen the boundary.

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 clear operational context for marketplace/locale selection but never says when to use this versus browse_catalog or resolve_product. Usage is implied by the query parameter rather than stated as an explicit condition.

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