Skip to main content
Glama

nowyourlink documentation

Server Details

Anonymous read and search over the published nowyourlink developer documentation.

If you are the author of this connector, you can claim ownership with GitHub, an HTTP challenge, or a DNS record. Claimed connector authors can inspect health checks, view analytics, and manage their listing.

Verification

Glama connects to this endpoint on a schedule and records what it finds.

2025-06-18MCP protocol negotiated
2Tools discovered

Last verified

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL
Repository
ArneFfm/nowyourlink-agent-kit
GitHub Stars
0

TDQS

A4.1/5.0

Scored across 2 tools

Disambiguation5/5

The two tools have clearly distinct purposes: one reads a specific documentation page, the other performs full-text search. No overlap exists, so an agent can easily select the right tool.

Naming Consistency5/5

Both tool names follow a consistent verb_noun snake_case pattern: read_docs_page and search_docs. The naming is predictable and uniform.

Tool Count3/5

With only two tools, the surface is minimal but appropriately scoped for a documentation-only server. It borders on thin, but the two core actions of reading and searching cover the primary use case.

Completeness4/5

The server covers the essential workflows of locating and reading documentation, but lacks a browsing or listing capability (e.g., list all pages), which is a minor gap in the tool surface.

Available Tools

2 tools
read_docs_pageA
Read-onlyIdempotent
Inspect

Read developer reference, authentication, versioning and privacy documentation.

ParametersJSON Schema
NameRequiredDescriptionDefault
pathYes

Output Schema

ParametersJSON Schema
NameRequiredDescription

No output parameters

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so safety is covered. The description adds context about the specific types of documentation read, which is useful but not extensive. No contradictory information is present.

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

Conciseness5/5

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

A single sentence of 10 words, front-loaded with the verb 'Read'. Every word contributes to the purpose, with no filler or redundancy.

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

Completeness5/5

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

The tool is simple: one parameter with an enum, and an output schema exists. The description, combined with the schema and annotations, fully covers what the tool does, the valid inputs, and the safety profile. No critical information is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

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 does by naming the documentation categories (developer reference, authentication, versioning, privacy), which map directly to the enum paths. This adds semantic meaning beyond the raw path strings.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb ('Read') and a specific resource (documentation pages for developer reference, authentication, versioning, and privacy). This distinctly differentiates it from the sibling 'search_docs', which implies searching rather than reading. The list of content types gives concrete scope.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus search_docs. The description only says what it does, not when to choose it over the alternative. There is no mention of prerequisites, exclusions, or conditions that would route an agent to this tool.

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

search_docsSearch documentationA
Read-onlyIdempotent
Inspect

Full-text search over the published developer, authentication, versioning and privacy documentation. Returns the best matching passages with their source page URL.

ParametersJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYesSearch terms.

Output Schema

ParametersJSON Schema
NameRequiredDescription
passagesYes

TDQS

A4/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint, idempotentHint, destructiveHint). The description adds useful behavioral context by specifying the search scope ('developer, authentication, versioning and privacy documentation') and the result nature ('best matching passages with their source page URL'). No contradiction.

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

Conciseness5/5

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

Two sentences with no wasted words. The main action and scope are front-loaded, and the return value is stated succinctly.

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

Completeness4/5

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

Given the output schema exists and annotations cover safety, the description is largely complete for a simple search tool. It could mention how to use this instead of read_docs_page, but that is a minor gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 50%: query is described in the schema, limit is not. The description adds context to query via 'Full-text search' but does not explain the limit parameter. However, the limit is a simple integer with clear constraints and default in the schema, so the description's contribution is adequate but not extensive.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb and resource: 'Full-text search' over a defined set of documentation areas. It also states what is returned ('best matching passages with their source page URL'), which clearly distinguishes it from the sibling tool read_docs_page.

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

Usage Guidelines3/5

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

The description implies the tool is for searching documentation, and the sibling name suggests when to read a specific page, but there is no explicit when-to-use or when-not-to-use guidance. An agent must infer the alternative from context.

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. 2 tool updates
    • First observedread_docs_page
    • First observedsearch_docs

Related MCP Connectors

Related MCP Servers

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.