Smart ring research and regional buying links; affiliate links may earn commission.
Scored across 4 tools
Each tool has a distinct action: search for discovery, compare for 2–4 specific IDs, find_regional_offers for retailer links on one ring, and calculate_ring_cost for pricing math. The only mild overlap is between search_rings and compare_rings, since both surface ring records, but the descriptions clarify that one is discovery and the other is a bounded multi-ID detail read.
All four names follow a consistent snake_case verb_noun pattern (calculate_ring_cost, compare_rings, find_regional_offers, search_rings). The verbs are distinct and meaningful, so the pattern stays predictable without becoming repetitive.
Four tools is on the thin side but each maps to a real step in the smart-ring research workflow: discover, compare, locate offers, and price out. Nothing feels redundant or padded, though the surface is minimal enough that it borders on under-scoped.
The set covers discovery, comparison, regional purchasing links, and total cost of ownership, which is most of the research lifecycle. The one gap is a single-ring detail fetch: compare_rings requires 2–4 IDs and find_regional_offers returns only links, so an agent cannot pull one ring's full evidence record in isolation.
Calculate 1–3 year hardware plus required subscription cost in the recorded currency. Not a local quote; no exchange-rate conversion, taxes or optional fees.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ||
| years | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already cover read-only, idempotent, non-destructive, closed-world semantics. The description usefully adds what the returned figure excludes (FX conversion, taxes, optional fees) and that pricing is in the recorded currency, which is real behavioral context an agent needs to interpret the number.
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 tight sentences, scope stated first and then the critical exclusions. Nothing is redundant even though some of it restates schema constraints.
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?
Annotations cover the safety profile, but with no output schema the description should say more about the shape of the result (single total? per-year breakdown? line items) and should identify what 'id' refers to. As written an agent can call it, but cannot anticipate what comes back or what id to supply.
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 carries the burden. It clarifies the 'years' range and currency basis, but the required 'id' parameter is never explained (presumably a ring identifier) — the agent must guess its meaning from the sibling tool names.
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 ('calculate ... hardware plus required subscription cost') with scope bounds (1–3 year, recorded currency). It is distinguishable from compare_rings and find_regional_offers in spirit, but never names or contrasts with a sibling explicitly.
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 exclusion sentence ('not a local quote; no exchange-rate conversion, taxes or optional fees') implicitly steers the agent away from find_regional_offers and toward this tool for a configured-price total, but the routing is inference rather than an explicit when-to-use statement or named alternative.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Read the original evidence, limitations, sizing, battery and subscription records for two to four ring IDs. Not a hands-on review or diagnosis.
| Name | Required | Description | Default |
|---|---|---|---|
| ids | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly, idempotent, closed-world and non-destructive behavior, so the safety profile is covered. The description adds genuinely useful context beyond that: the specific record categories retrieved and the 2-4 ID arity constraint. It stops short of describing how results are presented (per-ring blocks vs. side-by-side comparison), which would be the remaining 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?
Two short sentences, zero filler, with the data scope front-loaded and the exclusion tacked on at the end. Nothing to trim.
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 annotations covering safety and no output schema, the description carries the return-value burden and does list the record categories returned. It is nearly complete; only the shape of the comparison result is left unspecified.
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% and the single parameter is named only 'ids' with bare string items, so the description must compensate. It does clarify that the strings are ring IDs and confirms the two-to-four range, but that range merely restates the schema's minItems/maxItems rather than adding new meaning.
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 (Read) and resource (evidence, limitations, sizing, battery and subscription records) scoped to two to four ring IDs. An agent knows exactly what data comes back, though the description never names or contrasts the sibling tools (search_rings, calculate_ring_cost) it could be confused with.
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 negative clause 'Not a hands-on review or diagnosis' implies a usage boundary, but no positive when-to-use context and no explicit alternative is offered. An agent must infer that search_rings finds IDs and calculate_ring_cost handles pricing.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Read country-specific official and paid retailer links for one ring. Preserve affiliate URLs. Brand storefronts and model searches are not exact listings; no checkout or live inventory.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ||
| market | Yes | ||
| language | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already declare read-only, idempotent, non-destructive behavior, so the description benefits from adding that affiliate URLs should be preserved and that results are not exact listings and do not include checkout or live inventory. It adds useful domain-specific context beyond the annotations, though it does not discuss freshness, rate limits, or authentication.
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 short and front-loaded with the core action and resource. Every sentence adds relevant scope or behavioral guidance: affiliate URL preservation, exact-listing limitations, and absent checkout/inventory.
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 rich annotations and no output schema, the description adequately explains the return nature as retailer links and warns about affiliate URLs, exact listings, and inventory limits. The main gaps are the unexplained language parameter and lack of explicit sibling-tool routing.
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 compensate. It maps 'id' to 'one ring' and 'market' to 'country-specific,' but it does not explain the optional 'language' parameter or clarify parameter formats beyond what the enum values already show.
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 and resource: reading country-specific official and paid retailer links for one ring. It clearly scopes the operation to links and a single ring, though it does not explicitly name or distinguish itself from the sibling tools search_rings, compare_rings, or calculate_ring_cost.
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 implied by 'for one ring' and 'country-specific,' and the caveats about brand storefronts/model searches and no checkout/live inventory help set expectations. However, it does not explicitly say when to choose this tool over the sibling tools or provide direct alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Search dated smart-ring records by brand/model, phone, use case and buyer country. Unknown availability is not treated as available.
| Name | Required | Description | Default |
|---|---|---|---|
| goal | No | ||
| phone | No | ||
| query | No | ||
| market | No | ||
| noSubscription | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and closed-world scope, so safety is covered. The description adds one genuinely useful rule ('Unknown availability is not treated as available'), clarifying how missing data is filtered, but says nothing about result limits, ordering, or pagination.
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, no filler, with the search scope front-loaded before the availability caveat. It is tight to the point of thinness for a five-parameter tool, but nothing is wasted.
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 0% schema description coverage and no output schema, the description leaves an agent guessing at what a record contains and at the role of noSubscription. The availability rule helps, but the definition is under-specified for a multi-facet search 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 0%, so the description carries the burden. It maps most facets to intent (brand/model to the free-text query, phone, use case to goal, buyer country to market), but never mentions noSubscription and gives no syntax hints for the 200-character query or the enum values' meaning.
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 (search) and resource (dated smart-ring records) plus the facet dimensions used for filtering. An agent can tell it retrieves ring records rather than computing costs or comparing models, though the sibling tools are never named and 'dated' is left unexplained.
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 statement of when to use this instead of compare_rings, calculate_ring_cost, or find_regional_offers. The second sentence about availability is a filter semantic, not usage guidance, and no prerequisites or exclusions are given.
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.
calculate_ring_costcompare_ringsfind_regional_offerssearch_ringsSmart glasses research and regional buying links; affiliate links may earn commission.
Machine research, calculators and buying links; affiliate links may earn commission.
Current retail deals by category and store, with buying guides. Affiliate links.
Product price checks and affiliate link building for AI shopping agents.
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