Read-only padel.how racket catalogue: reviews, comparisons, brands, offers, and methodology.
Scored across 5 tools
Each tool has a distinct purpose: single lookup, search, comparison, offers, and brand listing. There is mild overlap between get_racket and search_rackets, but the descriptions clarify that one is slug-based retrieval while the other is filtered searching.
All tool names follow a clear verb_noun pattern: compare_rackets, get_offers, get_racket, list_racket_brands, search_rackets. The style is consistent and predictable.
Five tools is well-scoped for a niche read-only racket catalogue and review server. Each tool covers a distinct user need without unnecessary bloat.
The toolset supports searching, retrieving, comparing, brand discovery, and offer lookup, which covers typical read-only catalogue workflows. A minor gap is the lack of an explicit list-all-rackets tool, though search_rackets may be able to fill that role.
Compare two to four distinct published racket slugs.
| Name | Required | Description | Default |
|---|---|---|---|
| slugs | Yes |
| Name | Required | Description |
|---|---|---|
| tool | Yes | |
| result | Yes | |
| dataset | Yes | |
| warnings | Yes | |
| citations | Yes | |
| schema_version | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly, idempotent, and non-destructive behavior, so the description doesn't need to repeat those. It adds the useful constraint that only 'published' slugs are valid, but it doesn't describe the comparison behavior or return structure. Since an output schema exists, this is acceptable but not rich.
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, focused sentence with no filler. The core action and constraints are front-loaded, making it easy to parse quickly.
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-only tool with an output schema and safety annotations, the description covers the essential operational details. It states the operation, input range, distinctness requirement, and publication filter. It does not discuss error behavior, but that is not critical given the simple contract and existing structured metadata.
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 help explain the 'slugs' parameter. It clarifies that slugs must correspond to published rackets and be distinct, though uniqueness and item count are already encoded in the schema. It does not explain what a slug is or how to obtain valid values, leaving some 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 uses a specific verb ('Compare') with a clear resource ('rackets') and precise input constraints ('two to four distinct published racket slugs'). It clearly distinguishes itself from sibling tools like get_racket, which fetches a single racket, and search_rackets, which searches across rackets.
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 tool is for side-by-side comparison of multiple rackets, but it does not explicitly state when to prefer it over alternatives or provide exclusions. An agent can infer the use case, but there is no direct guidance about sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
List published retailer offers per racket; prices carry observed_at and are not live.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | No | ||
| limit | No | ||
| offset | No | ||
| retailer | No | ||
| snapshot_version | No |
| Name | Required | Description |
|---|---|---|
| tool | Yes | |
| result | Yes | |
| dataset | Yes | |
| warnings | Yes | |
| citations | Yes | |
| schema_version | Yes |
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 safety profile is covered. The description adds genuinely useful behavioral context beyond the annotations: offers are 'published', prices are snapshotted with observed_at, and they are 'not live.' This prevents the agent from assuming real-time pricing.
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 with no filler. The core purpose is front-loaded, and the important caveat about non-live prices is included without bloating the 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?
For a read-only, idempotent listing tool with an output schema present, the description covers the essential decision points: what entities are returned, the filtering concept, and the pricing freshness caveat. It does not exhaustively explain every parameter, but the schema supplies constraints and enums, so nothing critical is missing for an agent to invoke 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 should compensate for the five undocumented parameters. It only partially does: 'per racket' hints at slug usage and 'retailer offers' hints at the retailer filter, but it does not explain snapshot_version, limit/offset semantics, or the meaning of null values. The schema's titles and defaults carry most of the burden.
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 a specific resource ('published retailer offers per racket'), and adds a distinctive constraint ('prices carry observed_at and are not live'). This clearly separates it from siblings like get_racket, search_rackets, and compare_rackets, which serve overlapping but different purposes.
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 makes the intended use clear: use this tool when you need retailer offers or pricing for a racket. However, it does not explicitly mention when not to use it or point to alternatives such as get_racket or search_rackets, so the usage guidance remains implied rather than explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Get one published racket by its validated catalogue slug.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes |
| Name | Required | Description |
|---|---|---|
| tool | Yes | |
| result | Yes | |
| dataset | Yes | |
| warnings | Yes | |
| citations | Yes | |
| schema_version | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, and destructiveHint. The description goes beyond these by adding 'published' (only published rackets are returned) and 'validated' (slug must be a known valid catalogue slug), which are useful behavioral constraints not present in 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?
The description is a single, tightly crafted sentence with no extraneous words. It front-loads the core action ('Get one published racket') and then the key qualifiers ('by its validated catalogue slug'). 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?
For a simple one-param, read-only tool with a full output schema and helpful annotations, the description covers all essential invocation requirements: what is retrieved, in what condition ('published'), and by what identifier ('validated catalogue slug'). No critical missing information.
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 input schema provides only type and pattern for the slug, with 0% description coverage. The description compensates by identifying the slug as a 'validated catalogue slug' that selects a single racket, adding meaningful context about the parameter's role and validity requirements.
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 ('Get') and resource ('one published racket'), and clarifies the retrieval mechanism ('by its validated catalogue slug'). This clearly distinguishes it from siblings like search_rackets, list_racket_brands, and get_offers, which serve different purposes.
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 a clear use case: call this tool when you have a validated catalogue slug and need a single published racket. It does not explicitly state when to use alternatives like search_rackets, but the condition ('by its validated catalogue slug') provides enough contextual guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
List brand variants grouped by case-insensitive normalized spelling.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
| Name | Required | Description |
|---|---|---|
| tool | Yes | |
| result | Yes | |
| dataset | Yes | |
| warnings | Yes | |
| citations | Yes | |
| schema_version | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare the operation as read-only, idempotent, and non-destructive. The description adds meaningful behavioral context beyond annotations by specifying case-insensitive normalization and grouping, which tells the agent how results will be organized.
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 focused sentence with no filler. The core action and resource are front-loaded, and the normalization detail is expressed efficiently.
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 parameterless, read-only listing tool with an output schema and clear annotations, the description fully covers what the agent needs to invoke it correctly. No crucial behavioral or usage detail 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 has zero parameters, so parameter documentation is not needed. Schema coverage is effectively complete, and the description explains the output grouping behavior, which is the only semantic content an agent needs.
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 a specific action ('List') and resource ('brand variants'), and adds a distinctive grouping behavior ('by case-insensitive normalized spelling'). This cleanly separates it from sibling tools like get_racket, search_rackets, and compare_rackets.
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 the tool: whenever the agent needs brand variants consolidated by normalized spelling. However, it does not explicitly contrast with sibling tools such as search_rackets or compare_rackets, leaving selection mostly to inference.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Search published rackets using literal, case-insensitive catalogue filters.
| Name | Required | Description | Default |
|---|---|---|---|
| sort | No | score_desc | |
| year | No | ||
| brand | No | ||
| limit | No | ||
| query | No | ||
| offset | No | ||
| audience | No | ||
| max_score | No | ||
| min_score | No | ||
| snapshot_version | No | ||
| editorial_player_level_tag | No |
| Name | Required | Description |
|---|---|---|
| tool | Yes | |
| result | Yes | |
| dataset | Yes | |
| warnings | Yes | |
| citations | Yes | |
| schema_version | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already establish read-only, idempotent, non-destructive behavior. The description adds useful behavioral detail beyond the schema: filters are literal and case-insensitive, and only published rackets are searchable. This helps set expectations about matching semantics.
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 focused sentence with no filler. It front-loads the action and resource, then adds the two most important behavioral qualifiers: literal and case-insensitive filtering.
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 a rich input schema, output schema, and safety annotations, the description is reasonably complete. It explains the scope ('published rackets') and matching behavior ('literal, case-insensitive'), while remaining concise; the parameter schema carries the rest of the invocation detail.
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 11 parameters, so the description must compensate, but it only offers the generic phrase 'literal, case-insensitive catalogue filters.' It adds some shared meaning across filters but does not explain individual parameters such as query, sort, score bounds, or snapshot_version. The burden is largely left to the schema field names and 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?
The description states a specific verb ('Search') and a clear resource ('published rackets'), and the phrase 'catalogue filters' distinguishes it from sibling tools like get_racket, list_racket_brands, and compare_rackets. An agent can tell immediately that this tool searches the catalogue rather than retrieving, listing, or comparing.
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 clear context for when to use the tool: searching published rackets with filters. It does not explicitly name alternatives or exclusions, but the verb 'search' and resource scope give enough guidance for an agent to use it appropriately among the listed siblings.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
compare_rackets7 fields changedInput schema / properties / slugs / items / patternAdded value: +"^[a-z0-9]+(?:-[a-z0-9]+)*$"Input schema / properties / slugs / maxItemsAdded value: +4Input schema / properties / slugs / minItemsAdded value: +2Input schema / properties / slugs / uniqueItemsAdded value: +trueOutput schema / $defs / OfferPrice / properties / amount / anyOfRemoved value: -[
- {
- "type": "integer"
- },
- {
- "type": "number"
- }
-]Output schema / $defs / OfferPrice / properties / amount / exclusiveMinimumAdded value: +0Output schema / $defs / OfferPrice / properties / amount / typeAdded value: +"number"get_offers9 fields changedInput schema / properties / limit / maximumAdded value: +25Input schema / properties / limit / minimumAdded value: +1Input schema / properties / offset / maximumAdded value: +9007199254740991Input schema / properties / offset / minimumAdded value: +0Input schema / properties / slug / anyOfPrevious value: -[
- {
- "type": "string"
- },
- {
- "type": "null"
- }
-]New value: +[
+ {
+ "pattern": "^[a-z0-9]+(?:-[a-z0-9]+)*$",
+ "type": "string"
+ },
+ {
+ "type": "null"
+ }
+]Input schema / properties / snapshot_versionAdded value: +{
+ "anyOf": [
+ {
+ "type": "string"
+ },
+ {
+ "type": "null"
+ }
+ ],
+ "default": null,
+ "title": "Snapshot Version"
+}Output schema / $defs / OfferPrice / properties / amount / anyOfRemoved value: -[
- {
- "type": "integer"
- },
- {
- "type": "number"
- }
-]Output schema / $defs / OfferPrice / properties / amount / exclusiveMinimumAdded value: +0Output schema / $defs / OfferPrice / properties / amount / typeAdded value: +"number"get_racket4 fields changedInput schema / properties / slug / patternAdded value: +"^[a-z0-9]+(?:-[a-z0-9]+)*$"Output schema / $defs / OfferPrice / properties / amount / anyOfRemoved value: -[
- {
- "type": "integer"
- },
- {
- "type": "number"
- }
-]Output schema / $defs / OfferPrice / properties / amount / exclusiveMinimumAdded value: +0Output schema / $defs / OfferPrice / properties / amount / typeAdded value: +"number"search_rackets11 fields changedInput schema / properties / limit / maximumAdded value: +25Input schema / properties / limit / minimumAdded value: +1Input schema / properties / max_score / anyOfPrevious value: -[
- {
- "type": "number"
- },
- {
- "type": "null"
- }
-]New value: +[
+ {
+ "maximum": 100,
+ "minimum": 0,
+ "type": "number"
+ },
+ {
+ "type": "null"
+ }
+]Input schema / properties / min_score / anyOfPrevious value: -[
- {
- "type": "number"
- },
- {
- "type": "null"
- }
-]New value: +[
+ {
+ "maximum": 100,
+ "minimum": 0,
+ "type": "number"
+ },
+ {
+ "type": "null"
+ }
+]Input schema / properties / offset / maximumAdded value: +9007199254740991Input schema / properties / offset / minimumAdded value: +0Input schema / properties / snapshot_versionAdded value: +{
+ "anyOf": [
+ {
+ "type": "string"
+ },
+ {
+ "type": "null"
+ }
+ ],
+ "default": null,
+ "title": "Snapshot Version"
+}Input schema / properties / year / anyOfPrevious value: -[
- {
- "type": "integer"
- },
- {
- "type": "null"
- }
-]New value: +[
+ {
+ "maximum": 2200,
+ "minimum": 1900,
+ "type": "integer"
+ },
+ {
+ "type": "null"
+ }
+]Output schema / $defs / OfferPrice / properties / amount / anyOfRemoved value: -[
- {
- "type": "integer"
- },
- {
- "type": "number"
- }
-]Output schema / $defs / OfferPrice / properties / amount / exclusiveMinimumAdded value: +0Output schema / $defs / OfferPrice / properties / amount / typeAdded value: +"number"compare_rackets1 field changedOutput schema / $defs / AffiliateOffer / properties / retailer / enumPrevious value: -[
- "Amazon",
- "Padel Market",
- "PadelDogs",
- "Tennis Point",
- "Racketshop.com"
-]New value: +[
+ "Amazon",
+ "Padel Market",
+ "PadelDogs",
+ "Tennis Point",
+ "Racketshop.com",
+ "SPORTLET"
+]get_offers2 fields changedInput schema / properties / retailer / anyOfPrevious value: -[
- {
- "enum": [
- "Amazon",
- "Padel Market",
- "PadelDogs",
- "Tennis Point",
- "Racketshop.com"
- ],
- "type": "string"
- },
- {
- "type": "null"
- }
-]New value: +[
+ {
+ "enum": [
+ "Amazon",
+ "Padel Market",
+ "PadelDogs",
+ "Tennis Point",
+ "Racketshop.com",
+ "SPORTLET"
+ ],
+ "type": "string"
+ },
+ {
+ "type": "null"
+ }
+]Output schema / $defs / AffiliateOffer / properties / retailer / enumPrevious value: -[
- "Amazon",
- "Padel Market",
- "PadelDogs",
- "Tennis Point",
- "Racketshop.com"
-]New value: +[
+ "Amazon",
+ "Padel Market",
+ "PadelDogs",
+ "Tennis Point",
+ "Racketshop.com",
+ "SPORTLET"
+]get_racket1 field changedOutput schema / $defs / AffiliateOffer / properties / retailer / enumPrevious value: -[
- "Amazon",
- "Padel Market",
- "PadelDogs",
- "Tennis Point",
- "Racketshop.com"
-]New value: +[
+ "Amazon",
+ "Padel Market",
+ "PadelDogs",
+ "Tennis Point",
+ "Racketshop.com",
+ "SPORTLET"
+]search_rackets1 field changedOutput schema / $defs / AffiliateOffer / properties / retailer / enumPrevious value: -[
- "Amazon",
- "Padel Market",
- "PadelDogs",
- "Tennis Point",
- "Racketshop.com"
-]New value: +[
+ "Amazon",
+ "Padel Market",
+ "PadelDogs",
+ "Tennis Point",
+ "Racketshop.com",
+ "SPORTLET"
+]compare_racketsget_offersget_racketlist_racket_brandssearch_racketsRead-only paddle search, specifications, comparisons, scores, and verified purchase links.
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