nowyourlink documentation
Server Details
Anonymous read and search over the published nowyourlink developer documentation.
- Status
- Healthy
- Uptime
- 100.0% over 21 days
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-06-18
- URL
- Repository
- ArneFfm/nowyourlink-agent-kit
- GitHub Stars
- 0
TDQS
Scored across 2 tools
read_docs_page and search_docs have clearly distinct purposes: one fetches a specific page, the other performs full-text search and returns passages. There is no overlap or ambiguity in selection.
Both tools follow a consistent verb_noun snake_case pattern (read_docs_page, search_docs). The convention is predictable and readable.
Two tools is on the thin side, but for a documentation-only server the read/search pair covers the primary access patterns. It is slightly minimal rather than excessive.
Browsing a page and searching the corpus are the core operations for a docs server, so the surface is largely covered. A listing/index tool for discovering pages without a query is a minor gap agents can work around via search.
Available Tools
2 toolsread_docs_pageRead documentation pageBRead-onlyIdempotentInspect
Read developer reference, authentication, versioning and privacy documentation.
| Name | Required | Description | Default |
|---|---|---|---|
| path | Yes | ||
| query | No |
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=false and destructiveHint=false, so the safety profile is fully covered structurally. The description is consistent with those hints but adds almost no behavioral context beyond the topic list; with annotations carrying the burden, 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 well-formed sentence with the resource and its scope front-loaded and no filler. It could be one clause longer to cover the omitted affiliate path, but the structure is 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?
An output schema exists, so return-value explanation is not required, and annotations cover safety. Still, for a tool whose schema has 0% parameter description coverage, the unexplained query parameter and the undocumented /affiliate.md enum value leave the agent guessing on two fronts.
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, and it partially does by mapping topics to enum paths (auth.md, versioning.md, privacy.md, developers.md). However, it omits /affiliate.md entirely and says nothing about the query parameter's purpose or length constraints, leaving a real gap.
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 (Read) and resource (documentation) and enumerates the topic areas covered: developer reference, authentication, versioning and privacy. It distinguishes the tool's domain from sibling search_docs implicitly, but never names the sibling to sharpen the contrast.
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 guidance on when to read a page directly versus when to use search_docs, nor any prerequisite or fallback instructions. The sibling tool exists but is never referenced, leaving the routing decision entirely to inference.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_docsSearch documentationARead-onlyIdempotentInspect
Full-text search over the published developer, authentication, versioning and privacy documentation. Returns the best matching passages with their source page URL.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | Yes | Documentation question or search terms. |
Output Schema
| Name | Required | Description |
|---|---|---|
| passages | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and a closed-world scope, so the safety profile is fully covered elsewhere. The description adds the useful fact that results are ranked passages rather than whole pages, but says nothing about pagination, ranking behavior, or the 'limit' cap of 10.
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, zero filler, with the searched corpus and the return shape front-loaded. Every clause carries information an agent needs.
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?
An output schema exists and the annotations carry the safety profile, so the description does not need to explain return values. For a two-parameter search tool it is nearly complete; the only real gap is routing guidance against read_docs_page.
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 50%: 'query' is documented in the schema while 'limit' (default 5, max 10) is not. The description implies a textual query but adds no syntax, matching-mode, or result-count guidance beyond what the schema already states, so the baseline 3 for partial coverage 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 names a specific verb and resource ('Full-text search over the published developer, authentication, versioning and privacy documentation') and scopes the corpus precisely, so the agent knows exactly what is searched. It does not, however, differentiate itself from the sibling read_docs_page, so an agent cannot tell from this text alone which of the two to pick.
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 only implied: the phrase 'best matching passages' suggests this is the discovery tool and read_docs_page is the retrieval tool, but that division of labor is never stated. There is no explicit when-to-use, when-not-to-use, or named alternative.
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.
1 tool update
- Changed
read_docs_page1 field changed- changed
Input schema / properties / path / enumPrevious value: -[ - "/developers.md", - "/auth.md", - "/versioning.md", - "/privacy.md" -]New value: +[ + "/affiliate.md", + "/developers.md", + "/auth.md", + "/versioning.md", + "/privacy.md" +]
2 tool updates
- Changed
read_docs_page1 field changed- added
Input schema / properties / queryAdded value: +{ + "maxLength": 200, + "minLength": 2, + "type": "string" +}
- Changed
search_docs3 fields changed- changed
Input schema / properties / query / descriptionPrevious value: -"Search terms."New value: +"Documentation question or search terms." - added
Output schema / properties / passages / items / properties / idAdded value: +{ + "type": "string" +} - changed
Output schema / properties / passages / items / properties / score / typePrevious value: -"integer"New value: +"number"
2 tool updates
- First observed
read_docs_page - First observed
search_docs
Related MCP Connectors
Search and read Financier's developer documentation. No credentials needed.
Search and read the public Applivery docs (MDM & app distribution). Read-only, no auth.
Search and read Empryo's documentation. Read-only, no auth, no local access.
Read-only search and page retrieval from the public Atisbo documentation corpus. No authentication.
Related MCP Servers
- AlicenseAqualityBmaintenanceServes the already-public developer documentation for the DivineAPI REST API, enabling search, endpoint lookup, and example responses without authentication.5MIT
- AlicenseNot gradedqualityCmaintenanceEnables agents to search and read public Ravensight documentation over unauthenticated remote HTTP, retrieving cited excerpts and Markdown sections with revision-aware pagination. Provides a browsable index of document IDs and sections, with read-only, free access that cannot touch customer studios or player data.MIT
- AlicenseAqualityBmaintenanceProvides read-only tools to search, read, and look up Natural API documentation from an AI agent, enabling documentation lookup without credentials.4MIT
- FlicenseNot gradedqualityDmaintenanceSearch and read Kakao Developers REST API documentation through the MCP protocol.-
Glama MCP Gateway
Add one secure layer between your agents and this server.