OhGiftPlease Gift Discovery
Server Details
Person-first gift discovery with curated ideas, guides, categories, and brands.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- Repository
- racharmi/-ohgiftplease-mcp
- GitHub Stars
- 0
TDQS
Scored across 7 tools
Several tools overlap heavily in gift-discovery purpose: find_gifts, search_ohgiftplease, find_gift_guides, browse_gift_categories, and get_gift_finder can all be plausible entry points for similar requests. The descriptions offer intent cues, but an agent may still struggle to choose reliably between broad discovery, search, and guide lookup.
All names use snake_case and are led by a verb (browse_, find_, get_, search_), so the pattern is mostly predictable. A few names are longer noun phrases, but there are no jarring style switches or camelCase deviations.
Seven tools is well within a reasonable range for a focused gift-discovery server. Each tool maps to a distinct surface area (categories, guides, gifts, impact brands, finder, search, documentation), so the set does not feel bloated.
The surface covers the main discovery modes: browsing categories, editorial guides, general gift ideas, impact brands, the Gift Finder, public search, and MCP documentation. A direct product/brand detail lookup is not present, but search partially compensates for that minor gap.
Available Tools
7 toolsbrowse_gift_categoriesBrowse gift categoriesBRead-onlyIdempotentInspect
Return direct OhGiftPlease category and Gift Finder links for common gifting intents.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false, fully covering the safety and idempotency profile. The description adds only that it returns links, which is more output information than behavioral disclosure; it does not explain network behavior, caching, or side effects beyond what annotations state.
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?
Single sentence, front-loaded with the action and resource, with no filler or repetition. Perfectly sized for a zero-parameter 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 zero-parameter, read-only browsing tool, the description conveys the basic purpose and return type. However, it omits any guidance to distinguish this tool from closely related siblings like get_gift_finder and find_gifts, which could lead to incorrect tool selection. No output schema exists, so the description bears more burden to explain return values, which it does only briefly.
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 baseline is 4. The schema is an empty object with 100% coverage, and the description adds no parameter details, which is appropriate since there are none.
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 action (return links) and resource (OhGiftPlease category and Gift Finder links) scoped to common gifting intents. It does not explicitly distinguish itself from siblings like get_gift_finder or find_gifts, so it falls 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?
The phrase 'for common gifting intents' hints at a use case but provides no explicit guidance on when to choose this tool over overlapping siblings (e.g., get_gift_finder, find_gifts). No prerequisites, exclusions, or alternatives are given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
find_gift_guidesFind gift guidesBRead-onlyIdempotentInspect
Find the most relevant OhGiftPlease editorial gift guide for a gifting problem or topic.
| Name | Required | Description | Default |
|---|---|---|---|
| topic | Yes | Gift topic or problem, such as hard to shop for, cooking, games, self-care, weird gifts, or under $25. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered elsewhere. The description adds no behavioral detail beyond them: it does not say whether one guide or a ranked list is returned, whether results are cached, or what 'most relevant' is based on.
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 with the verb and object in the first few words and no filler. It is efficient, though the brevity is part of why the usage gap exists.
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, idempotent lookup with no output schema, the description is close to sufficient: 'the most relevant' implies a single best-match guide is returned. What is missing is routing guidance against the six sibling tools in this namespace.
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 the schema already enumerates example topics (hard to shop for, cooking, games, self-care, weird gifts, under $25). The description adds nothing beyond restating 'gifting problem or topic', 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?
States a specific verb ('Find') and resource ('OhGiftPlease editorial gift guide') plus the input concept (gifting problem or topic). It implicitly distinguishes itself from find_gifts and browse_gift_categories by scoping to editorial guides, but it never names those siblings 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?
'For a gifting problem or topic' suggests a trigger condition, but there is no explicit when-to-use guidance, no when-not-to-use, and no mention of the six sibling tools (find_gifts, browse_gift_categories, search_ohgiftplease) that an agent must choose between.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
find_giftsFind giftsBRead-onlyIdempotentInspect
Find relevant OhGiftPlease gift ideas for a recipient, interest, vibe, occasion, or budget.
| Name | Required | Description | Default |
|---|---|---|---|
| vibe | No | Desired feel, such as thoughtful, funny, weird, practical, cozy, or self-care. | |
| occasion | No | Occasion, such as birthday, date night, thank-you, or just because. | |
| budgetMax | No | Maximum preferred budget in US dollars. | |
| interests | No | Interests, hobbies, personality traits, or things they like. | |
| recipient | Yes | Who the gift is for, such as friend, partner, coworker, parent, or self. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint, so the safety profile is fully covered. The description adds no behavioral context beyond them — nothing about result shape, result count, ranking, or whether the query is fuzzy or exact — so it earns little credit over the structured data.
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 with no filler or repetition, and the core action lands first. It is efficiently sized for a simple search 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 five-parameter read-only search with full schema coverage and annotations covering the safety profile, the description is sufficient to call the tool correctly. The only mild gap is that it says nothing about what a result looks like, but with no output schema this is not required.
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 schema already documents all five parameters with examples. The description restates the same facets (recipient, interest, vibe, occasion, budget) without adding format, precedence, or interaction detail, which is the expected baseline when the schema does the heavy lifting.
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 (find) and resource (OhGiftPlease gift ideas) and enumerates the facets it searches over (recipient, interest, vibe, occasion, budget). It is clear on its own, but it does not distinguish itself from closely overlapping siblings such as search_ohgiftplease, get_gift_finder, or browse_gift_categories, which an agent must choose between.
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 explicit when-to-use guidance, no exclusions, and no named alternative. Given the sibling set contains a general search tool and a gift-finder tool, the agent is left to infer which one to pick, which is a real routing gap rather than a minor omission.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
find_impact_brandsFind purpose-driven brandsARead-onlyIdempotentInspect
Find OhGiftPlease content about purpose-driven, women-owned, Black-owned, LGBTQIA+-owned, small-business, or Impact Brand gift options.
| Name | Required | Description | Default |
|---|---|---|---|
| preference | Yes | The values-based brand preference or impact category the user wants. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, covering the safety profile. The description adds the scoping constraint (only impact/purpose-driven content) but says nothing about result volume, pagination, or what qualifies as an "Impact Brand," so it contributes only modest extra behavioral context.
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 front-loaded sentence with no filler, and the category enumeration is informative rather than redundant. The list is slightly long, but every item carries scope 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 single-parameter, read-only lookup with full annotation coverage and no output schema, the definition supplies enough to invoke it correctly. It could be more complete by clarifying overlap with search_ohgiftplease or expected return shape, but nothing essential to calling it 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 100%, so the single "preference" parameter is already documented in the schema. The description enumerates candidate category values (women-owned, Black-owned, LGBTQIA+-owned, small-business), which loosely mirrors the schema's free-text example space but adds no format or validation detail beyond it. 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?
States a specific verb ("Find") and resource ("OhGiftPlease content about ... Impact Brand gift options") and enumerates the qualifying brand categories, so the agent knows this is an impact/values-filtered content lookup rather than a generic product search. It does not explicitly contrast itself with close siblings like find_gifts or search_ohgiftplease, which keeps it at 4.
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 impact categories imply the usage context (values-based browsing), but there is no explicit when-to-use/when-not-to-use statement or routing to alternatives such as find_gifts for non-impact searches. The agent must infer the boundary from the category list.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_gift_finderGet the Gift FinderARead-onlyIdempotentInspect
Return the OhGiftPlease person-first Gift Finder when the user has a broad or uncertain gift request.
| Name | Required | Description | Default |
|---|---|---|---|
| context | No | Optional summary of who the gift is for or what the user is stuck on. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is fully covered structurally. The description adds only the domain notion of 'person-first' and no additional behavioral detail such as latency, state effects, or what invoking the finder actually does; with annotations doing the heavy lifting 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 with no filler. The purpose and the trigger condition are stated immediately and 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?
For a no-required-parameter read-only tool, the description plus annotations give enough to invoke it correctly. It could say slightly more about what the Gift Finder returns or how it differs from the sibling search tools, but nothing essential 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?
There is a single optional 'context' parameter and schema description coverage is 100%, so the schema already conveys its meaning. The description says nothing about what context should contain or how it shapes results, leaving it at the baseline for fully-covered schemas.
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 ('Return') and resource ('OhGiftPlease person-first Gift Finder') and ties it to a condition. It does not explicitly distinguish itself from siblings like find_gifts or browse_gift_categories, so it falls short of a 5 but is clearly more than a vague statement.
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 clear triggering context: 'when the user has a broad or uncertain gift request.' That is actionable usage guidance, but it never states when NOT to use it or names the more specific sibling tools (find_gifts, find_gift_guides) that should handle narrower requests.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_mcp_documentationGet MCP documentationARead-onlyIdempotentInspect
Return official OhGiftPlease MCP documentation, privacy, terms, disclosure, support, and Registry identity.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is fully covered by structured data. The description adds the scope of returned content (privacy, terms, disclosure, support, Registry identity) but says nothing about auth needs, response size, format, or whether all documents are returned together — so it is a modest add-on, not a rich behavioral disclosure.
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 with the verb and resource first, followed by a compact enumeration of what is returned. No filler, no restatement of the title, and every listed item carries 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?
With no input parameters, no output schema, and rich annotations, the description covers what an agent needs: what the tool returns and that it is a safe read. It could go slightly further by indicating the return shape (single blob vs. multiple documents) since no output schema exists to carry that.
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 to disambiguate and the baseline is 4. The description correctly avoids inventing parameters and makes clear the call is unconditional.
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 ("Return") and resource ("official OhGiftPlease MCP documentation") and enumerates the document categories it covers, so the agent knows exactly what comes back. It does not explicitly contrast itself with the sibling tools, but those are all gift-search tools, so differentiation is implicit 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?
There is no explicit when-to-use statement, no prerequisites, and no named alternatives. Usage is only implied: an agent can infer this is the tool to call when it needs policy, privacy, terms, or Registry-identity information rather than gift data.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_ohgiftpleaseSearch OhGiftPleaseBRead-onlyIdempotentInspect
Search public OhGiftPlease pages for a specific product, brand, category, guide, or gifting question.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | What to search for on OhGiftPlease. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, and destructiveHint=false, so the safety and idempotency profile is fully covered. The description's only added behavioral signal is that the indexed pages are 'public' (no auth needed). It says nothing about result limits, ranking, 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?
One front-loaded sentence with no filler; the verb and scope come first. The trailing enumeration is slightly list-heavy for a tool whose query accepts free text anyway, 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?
For a one-parameter search tool with a fully annotated safety profile, the definition is minimally sufficient. However, there is no output schema, and the description never characterizes the returned results (page hits vs. structured items), so the agent cannot anticipate what it will receive.
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?
There is a single required parameter with 100% schema description coverage, so the schema already defines 'query' fully. The description only adds that the query may target several entity types, which is marginal clarification rather than new semantic detail. Baseline 3 is appropriate when the schema does the heavy lifting.
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 gives a specific verb (search) plus the resource (public OhGiftPlease pages) and enumerates the searchable content types (product, brand, category, guide, gifting question). It is clear what the tool does, but it does not distinguish itself from siblings such as find_gifts, find_gift_guides, or browse_gift_categories, which cover overlapping content.
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 explicit when-to-use or when-not-to-use guidance. With six siblings covering adjacent ground (find_gifts, find_gift_guides, browse_gift_categories), the description never says when this broad search should be preferred over a targeted finder, leaving the agent to guess.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
7 tool updates
- First observed
browse_gift_categories - First observed
find_gift_guides - First observed
find_gifts - First observed
find_impact_brands - First observed
get_gift_finder - First observed
get_mcp_documentation - First observed
search_ohgiftplease
Related MCP Connectors
Person-first gift discovery from OhGiftPlease with curated ideas, guides, categories, and brands.
AI-native corporate gifting & event infrastructure for Fortune 500. 70K products, 200+ brands.
- WishesOAuthapp.wishes
Tell your AI what you love and it fills your wishlist with gift ideas
Wishlists, favorites, and gift ideas — right from chat
Related MCP Servers
- FlicenseNot gradedqualityDmaintenanceRecommends gifts and drafts messages based on relationship, occasion, budget, and vibe.-
- AlicenseAqualityFmaintenanceFind 5 explainable, personalized gift recommendations from inside any MCP client by reasoning about relationship, occasion, and context.210 npmMIT
- AlicenseNot gradedqualityCmaintenanceAI-native corporate gifting and event infrastructure for Fortune 500, enabling search of a 70,000+ SKU catalog, event program generation with live P&L, and wholesale quotes.MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to create, manage, and discover family gift registries. Users can add links from Amazon, Target, and more through natural language.MIT
Glama MCP Gateway
Add one secure layer between your agents and this server.