Father's Day Gifts – hand-picked gift ideas

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

Annotations only declare readOnlyHint=false and openWorldHint=true; the description goes further by disclosing the auth requirement (editToken from create) and the token-rotation side effect ('Token storage may return a new id — update bookmarks'). That is real mutation context beyond structured fields, though duplicate handling and failure modes are unmentioned.

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

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

Four short front-loaded sentences with the action, prerequisite, payload shape and side effect in that order. The trailing 'OpenAPI: addItem.' is the only near-wasteful fragment, and it is one clause.

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 9 parameters, no output schema and an open-world hint, the description covers the mutation path well but omits the emoji parameter and never says what a successful call returns (item id, full item, nothing). Indirectly it notes the token response, which helps but is not a full picture.

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 22%, so the description must compensate, and it largely does: it enumerates the identifier options (asin, url, searchKeywords, catalogId), groups name/title as the label pair, and clarifies that url expects a pasted '/dp' link. Only emoji and the explicit role of id are left 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 and resource ('Add an item to a wishlist'), which cleanly separates it from create_wishlist and resolve_product. It doesn't explicitly name a sibling it contrasts with, so it stops short of the 5 bar.

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 concrete precondition ('Requires editToken from create') and lists the accepted identifier forms, which implies the use case of populating an existing list. It never states when not to use it or which sibling handles related tasks such as resolving a product first.

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 only declare readOnlyHint=false and openWorldHint=true; the description adds real value beyond that by disclosing the returned identifiers, that editToken must be persisted, and that storage='token' can cause later mutations to return a new id — a non-obvious stateful behavior. It still omits error behavior and whether items pre-populate the list.

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?

Front-loaded with the action and return shape, then the critical constraint, then the workflow caveat — every sentence carries signal. 'OpenAPI: createWishlist' is low-value metadata but costs almost nothing.

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

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

With no output schema, the description correctly enumerates the return fields and explains the token lifecycle, which is what an agent needs for a creation call. The remaining gap is the un-described personalization parameters on a 10-parameter 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 only 20%, so the description must carry the burden, yet it only reiterates that marketplace and locale are required — already encoded in the schema's required array. Eight of ten parameters (dadType, hobbies, styleTags, budgetBand, occasion, relationship, recipientName, items) get no semantic explanation, leaving the agent to infer intent from names and enums alone.

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 (creates a wishlist) and names the return payload fields, so the agent knows exactly what the call produces. It also ties forward to add_item, giving a hint of how it fits among siblings. The only imprecision is the mismatch between 'Father's Day wishlist' and the broader 'occasion' enum (birthday, retirement, just-because).

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?

'ALWAYS pass marketplace + locale' is an explicit invocation rule, and 'Save editToken for add_item' gives clear follow-up workflow guidance. It does not say when NOT to use this tool or point to alternatives like search_gifts/add_item, which keeps it below a 5.

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 does add value that no output schema provides by enumerating return keys and flagging that trackingTag is null until real Associates IDs exist, but it does not say how a failing subsystem surfaces (error vs. status field) or what makes the health check 'not ok'.

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 purpose is front-loaded in the first sentence and the total length is short. However, fragments like 'Peak SE Fars dag: Sunday Nov 8 2026' and 'Prefer buyUrl/trackingTag' are only loosely connected to invoking a health endpoint and dilute an otherwise compact definition.

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 tool with no output schema, the only real gap would be the return contract, and the description covers it by listing the health fields and their nullability. Safety is handled by annotations; only the failure semantics remain undocumented.

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

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

The tool takes zero parameters, so there is nothing for the description to disambiguate. Baseline of 4 applies; the description correctly implies no input is required.

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 the operation as a health check and scopes it to the Father's Day Gifts service, which is clearly distinct from the sibling tools (add_item, create_wishlist, search_gifts, etc.). It stops short of explicitly contrasting itself with those siblings, but the purpose 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 statement of when to call this (e.g., before a search, to diagnose degraded results) or when not to. 'Prefer buyUrl/trackingTag' is data-consumption advice, not tool-selection guidance, and the peak-date note is context rather than a usage rule.

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 safety profile is covered. The description adds useful context about tag behavior (tags omitted until real Associates IDs are registered, tagConfigured will be false), but does not describe other operational details such as caching or freshness.

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 sentences, each earning its place: what the tool returns, the required workflow, and the tag caveat. The information is front-loaded and efficient.

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 input parameters and no output schema, the description carries most of the explanatory burden. It covers the returned fields and the marketplace prerequisite well, though it could say more about freshness or when marketplace data changes.

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 has zero parameters, so the schema provides no per-parameter information to supplement. The description does list the fields returned, which is helpful context even though parameter semantics are not applicable.

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 uses a specific verb and resource ("List supported Amazon storefronts") and enumerates the returned fields (domain, label, currencyHint, tagConfigured). It distinguishes itself from siblings by positioning the result as input to search/resolve/create.

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 clear, imperative usage guidance: "Agents MUST pick the user's marketplace and pass it on search/resolve/create." That establishes the prerequisite workflow without stating when-not-to-use conditions or naming alternative 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?

Goes meaningfully beyond readOnlyHint/openWorldHint by disclosing two non-obvious behaviors: links omit ?tag= until Associates IDs exist, and curated ASINs only yield /dp on amazon.se while other marketplaces degrade to search deep-links. That degradation rule is exactly the kind of surprise an agent needs warned about. It does not cover failure behavior for an invalid or non-Amazon ASIN.

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 resource and accepted inputs, then the caveats. The ?tag= omission note is duplicated verbatim-ish in the marketplace parameter description, which is minor waste but not harmful.

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 the core resolution path and the marketplace degradation rule, which is the main risk area for a seven-parameter open-world tool with no output schema. However, occasion and styleTag are left wholly unexplained, and there is no guidance on what comes back or what happens when the ASIN is invalid or unavailable in the requested marketplace.

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?

At 71% schema coverage the baseline is 3, and the description mostly reinforces what the schema already says (marketplace/locale required, ASIN-vs-keywords). The two enum parameters, occasion and styleTag, have no description in either the schema or the prose, so their effect on the resulting URL is undefined. Real added meaning beyond the schema is limited to the marketplace/tag caveat.

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 (resolve) plus the accepted inputs (ASIN, pasted /dp/ URL, keywords) and the output form (product /dp or dad-gift search URL). That is far more than a restatement of the name. It stops short of explicitly distinguishing itself from the sibling search_gifts, which also handles keyword-style gift lookup, so an agent may still hesitate between the two.

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 imperative 'ALWAYS pass marketplace + locale' gives a hard calling rule, and 'keywords if no ASIN' implies input precedence, but the precedence lives in the schema rather than the prose. Nothing states when to pick this over search_gifts or when resolution is not appropriate. Usage is implied by the accepted input types rather than stated as a decision rule.

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 usefully adds what actually comes back: PA-API products when configured, otherwise dad-gift search deep-link cards plus catalogMatches, and the caveat that links omit ?tag= until real Associates IDs exist. That is meaningful behavioral context beyond annotations; only rate limits/pagination are unaddressed.

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 clause, which is good, but the remainder is dense internal jargon (PA-API, catalogMatches, '?tag=', 'Marcus registers real Associates IDs') that packs several ideas into one run-on sentence without much structure.

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's no output schema, and the description does a decent job sketching the return shapes (products vs deep-link cards + catalogMatches), which matters for a 9-parameter search tool. However, with 44% schema coverage and no clarification of most optional filters, an agent still lacks enough to use the filters 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 only 44% across 9 parameters, and the description compensates only for marketplace (curated ASINs yield /dp links on amazon.se, other marketplaces get search deep-links) and the mandatory locale. It says nothing about q, limit, hobby, dadType, occasion, or budgetBand, so much of the low-coverage schema is left 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+resource+domain: searching Amazon for Father's Day dad gifts on the user's marketplace, and even names the OpenAPI operation (searchGifts). It doesn't differentiate from any sibling tool (add_item, create_wishlist, resolve_product), but the search-vs-resolve distinction is fairly self-evident from the wording.

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 gives one hard requirement ('ALWAYS pass marketplace + locale'), which is genuine usage guidance, but never says when to prefer this over resolve_product or list_marketplaces, nor any exclusions. Usage is implied by the Father's Day framing rather than stated.

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