Toys Hub

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, covering the safety profile. The description adds the real-time aspect ('now') but nothing else about side effects, rate limits, or response format. Given the strong annotation coverage, this is acceptable but not exceptional.

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 a single sentence with zero filler. It directly states the tool's purpose without unnecessary elaboration, making it easy to parse.

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 the simple schema and read-only annotations, the description is minimally sufficient. However, it does not specify the return value (likely boolean) or any constraints on availability (e.g., stock vs. shipping). For a basic tool this might suffice, but a clearer statement of the expected output would improve completeness.

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 does not explain what 'slug' refers to (presumably product identifier) or the meaning of 'quantity' beyond 'wanted quantity'. The schema provides defaults and bounds for quantity, but the description does not compensate for the lack of param documentation. An agent would need to infer slug's purpose.

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 the tool checks whether a product can be ordered in a given quantity. It uses a specific verb ('check availability') and resource ('product'), and it distinguishes itself from siblings like get_product (which fetches product details) and search_products (which finds products). No ambiguity.

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. It doesn't mention that this is for verifying order feasibility before cart creation, or that it should not be used for product details (use get_product). The context is implied by the name but not explicitly 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?

Annotations already declare readOnlyHint and idempotentHint, but the description adds specificity: 'Nothing is ordered or stored' and that payment happens on the store's site. This goes beyond the annotations by clarifying the tool's boundary and where side effects occur.

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: the first defines the action and result, the second clarifies side effects. No redundant information, front-loaded purpose, and every word 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?

The description covers the core purpose and side effects. Parameters are documented in schema (lang) and items is implied. An output schema exists, so return format is covered. Missing are explicit error conditions or prerequisites, but for a simple link generator this is adequate.

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 50% (lang has description, items does not). The description mentions 'these products' but adds no semantics for the items array (e.g., slug meaning, quantity limits). Since the schema lacks descriptions for slug and quantity, the description should compensate but doesn't, adding minimal value over the 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?

States a specific verb ('Make') and resource ('link') with clear outcome (opens checkout with products). Clarifies that nothing is ordered or stored, distinguishing it from purchase tools. Sibling tools are all informational, so this stands apart.

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 (give link to shopper for checkout) but does not explicitly state when to use this over siblings or any exclusions. No alternative tools are named, leaving an agent to infer context rather than providing direct guidance.

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

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior, so the safety profile is well covered. The description adds value by disclosing the response contents—photos, rating, delivery/payment facts, buy-now link—which is important since there is no output schema. The described behavior is fully consistent with the annotations.

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

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

A single sentence with the scope front-loaded ('Everything about one product') followed by a dense, comma-separated field list. There is no filler and no repetition of schema or annotation 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 two-parameter read-only tool, the combination of schema (100% parameter coverage), annotations (read-only/idempotent), and the field-list description gives an agent everything needed to call it and understand the return. The main gap is absence of explicit guidance about when to choose this over narrower siblings, which is a minor omission for a simple detail endpoint.

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 100%, and both lang (enum with meaning) and slug (from search_products) are already documented in the schema. The description adds nothing about parameter format or defaults beyond what the schema provides, so the baseline 3 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?

The description opens with 'Everything about one product' and enumerates the exact fields (description, price, availability, age range, brand, photos, rating, delivery/payment facts, buy-now link), making the verb+resource and scope explicit. It clearly refers to a single product rather than lists or store-level data, but it never names a sibling or states what it is not, so sibling differentiation is implicit in the field list.

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 field enumeration implies the tool is the go-to for a complete product detail view, while targeted siblings like check_availability, get_shipping_quote, and create_cart_link cover single aspects. There is no explicit when-to-use or alternatives statement; the closest guidance is the schema hint that slug comes from search_products. That makes usage context discoverable but not proscriptive.

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

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds the key behavioral context: it reports cost, time, and a free-delivery boolean. However, it does not disclose return shape, units, or how the free-delivery threshold is determined, and there is no output schema to fill that 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?

The description is a single sentence with no filler, front-loading the core outputs (delivery cost, time) and adding the free-delivery qualifier. It is appropriately concise for a simple 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 two-parameter read-only tool, the description names the inputs and outputs concisely. However, there is no output schema, and the schema marks zero parameters as required; the description does not clarify whether city is mandatory or how the response is structured. This creates meaningful ambiguity for an agent deciding how to call the 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 100%, so the baseline is 3. The description reinforces that city affects cost/time and order_total affects free-delivery eligibility, which is useful, but it adds no detail beyond what the schema already provides and does not clarify optionality or requiredness.

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 the tool's purpose: return delivery cost, delivery time, and free-delivery eligibility for a city/order. It is specific enough to distinguish it from typical product or availability tools, though it lacks an explicit verb like 'calculates' or 'returns'.

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 when to use this tool—whenever delivery cost, time, or free-delivery qualification is needed—but it does not explicitly state when not to use it or point to alternatives such as check_availability. The context is clear, but exclusions and sibling differentiation are missing.

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, idempotentHint=true, and destructiveHint=false, so the description does not need to state that this is a safe read operation. It adds no further behavioral details such as authentication or data freshness, but it also contradicts no annotations.

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

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

The description is one compact sentence with a front-loaded summary ('Who the store is and how buying works') followed by a concise list of covered topics. Every phrase earns its place, and no redundant clauses appear.

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-only lookup with one optional parameter and no output schema, the description adequately enumerates the returned content. A short usage-note distinguishing it from shipping/availability siblings would improve completeness, but nothing essential for invoking the tool 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 only parameter, lang, has 100% schema description coverage, so the description does not need to explain it. The description's mention of 'languages' refers to store information content rather than the parameter, but the schema removes ambiguity.

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 identifies the resource—store-level information—and lists specific content areas: delivery countries, cost/time, payment methods, returns, currency, languages, and contact. It does not simply restate the title, and its store-wide scope helps distinguish it from product/search/shipping siblings, though it lacks an explicit verb.

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 enumerated topics imply when to call this tool: when the user needs delivery, payment, return, or contact information. However, it never explicitly contrasts with alternatives like get_shipping_quote or check_availability, so routing must be inferred from the field list rather than direct guidance.

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 idempotentHint=true, covering safety. The description adds the return fields, but 'page' is ambiguous (URL vs. page number) and it does not clarify pagination behavior or ordering. Since the safety profile is covered, a 3 is appropriate.

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

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

A single, front-loaded sentence that states the core action and the returned fields with no redundancy. Every word contributes.

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-only list tool with one optional parameter and no output schema, the description adequately specifies the return fields. Minor gaps remain: ambiguity around 'page' and lack of ordering/limit details, but these are not critical for correct invocation.

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 only parameter 'lang' is fully documented in the schema with enum and default, achieving 100% schema description coverage. The tool description adds no additional parameter information, so the baseline of 3 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?

The description clearly states the tool lists all product categories and enumerates the fields returned (slug, name, product count, page). It is distinct from all sibling tools, none of which focus on categories, so an agent can easily identify its purpose.

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

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

The context is clear: use this when you need the full list of product categories. It does not explicitly name alternatives or exclusions, but given the sibling set, no other tool overlaps with category listing, so the intended usage is straightforward.

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, idempotentHint=true, and destructiveHint=false, covering safety and side effects. The description adds the return content (fields per match) which is useful but does not disclose other behavioral traits such as result limits, ordering, or handling of empty queries (though some are captured in parameter descriptions). It adds moderate value beyond annotations.

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

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

The description is a single, efficient sentence that front-loads the core action and then lists outputs. There is no redundancy or filler; every clause contributes to understanding the tool's function and result.

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

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

For a read-only search tool with an output schema and annotations covering safety, the description is nearly complete. It explains what the tool does and what it returns. The only minor gap is not mentioning that query can be empty (popular products) or that category slugs come from list_categories, but these are covered in the schema parameter descriptions, so nothing critical 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?

Schema description coverage is 71%, so most parameters are already described (age, lang, query, category, max_price). The description only mentions the filter dimensions (words, category, age, price) without adding semantics for the undocumented parameters (limit, in_stock_only). It does not compensate for the gaps, but the schema constraints (min/max, default) provide partial guidance, so a baseline 3 is appropriate.

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 the tool's purpose: searching the Toys Hub catalogue with specific filters (words, category, age, price) and lists the output fields (name, price, availability, photo, product page, buy-now link). It distinguishes from siblings like get_product (single item retrieval) and list_categories (category enumeration) by its explicit search-and-list behavior.

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 provides no guidance on when to use this tool versus alternatives. It does not mention alternatives like get_product for specific items or check_availability for stock queries, nor does it state any exclusion criteria. An agent must infer usage from the tool name and generic context.

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