Skip to main content
Glama

TicketGlide Travel Guides

Server Details

Find attraction and day-trip guides with sources and dates, and create travel search links.

If you are the author of this connector, you can claim ownership by verifying the domain or GitHub account it belongs to. Claimed connector authors can inspect health checks, view analytics, and manage their listing.
Status
Healthy
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL

TDQS

A3.8/5.0

Scored across 3 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: search_guides finds guides, read_guide reads a specific guide, and create_search_link builds a URL without executing a search. The descriptions explicitly clarify boundaries, leaving little room for misselection.

Naming Consistency5/5

All three tools follow a consistent snake_case verb_noun pattern (create_search_link, read_guide, search_guides). No mixed conventions or vague verbs are present.

Tool Count4/5

Three tools is on the low end but appropriate for a read-only guide retrieval server; each tool has a distinct role. Slightly thin, but not problematic.

Completeness4/5

Core search and read operations are covered, plus a utility for website search links. However, there is no tool to list supported destinations or categories, which could be a minor gap for agents needing to construct valid queries or links.

Available Tools

3 tools
read_guideA
Read-onlyIdempotent
Inspect

Read a published guide path from search_guides, including source links and factual check dates when present. No drafts or supplier reviews.

ParametersJSON Schema
NameRequiredDescriptionDefault
pathYes

TDQS

A4.1/5.0
Behavior4/5

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 goes further by disclosing what the read returns ('source links and factual check dates when present') and what is excluded (drafts, supplier reviews), which is genuine added context.

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 tight sentences with zero filler. The core action and its source tool are front-loaded, and the exclusion is appended as a compact constraint.

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?

With no output schema, the description usefully previews the returned content and scope. Coverage of error behavior (e.g., an unpublished or unknown path) is absent, which is the only notable gap for a simple single-parameter read.

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 coverage is 0% and the single 'path' parameter is undocumented in the schema, so the description carries the burden — and it does, specifying that the path must be a published guide path originating from search_guides. It stops short of giving format or length guidance.

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

Purpose4/5

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

The description gives a specific verb ('Read') and resource ('a published guide path') and ties the input to its sibling search_guides, so the agent can tell it apart from that search tool. It does not address the other sibling (create_search_link), but that tool is clearly unrelated.

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

Usage Guidelines4/5

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

'Read a published guide path from search_guides' plus 'No drafts or supplier reviews' makes the intended invocation context (post-search, published content only) clear. There is no explicit when-not-to-use or named alternative beyond the implied search-then-read chain.

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

search_guidesB
Read-onlyIdempotent
Inspect

Find published TicketGlide city, attraction and day-trip guides. Searches editorial metadata, not supplier inventory.

ParametersJSON Schema
NameRequiredDescriptionDefault
limitNo
queryNo
localeNoen
offsetNo

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so safety behavior is covered. The description usefully adds that results come from editorial metadata rather than inventory, but says nothing about result volume, pagination, or ranking behavior despite limit/offset parameters existing.

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 short sentences, zero filler, with the resource scope front-loaded and the metadata-vs-inventory distinction immediately after. Nothing to trim.

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

Completeness3/5

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

For a four-parameter search tool with no output schema and no parameter documentation, the description is thin: an agent knows what it searches but not what it returns or how paging/locale behave. Annotations cover the safety profile, so the remaining gap is moderate rather than severe.

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

Parameters2/5

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

Schema description coverage is 0% for four parameters, so the description carries the full burden and provides no parameter-level detail at all — not even what query matches against, or how locale affects results. The only hint is 'editorial metadata', which loosely explains the query domain but not the limit/offset/locale semantics.

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

Purpose4/5

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

Names a specific verb (Find) and resource (published TicketGlide city, attraction and day-trip guides), and the second sentence sharpens the scope to editorial metadata rather than supplier inventory. It doesn't explicitly differentiate from the sibling read_guide, but the search-vs-retrieve distinction is inferable.

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 'editorial metadata, not supplier inventory' clause implies when to prefer this over inventory-facing tools, but no explicit when-to-use, prerequisites, or alternative routing is given. read_guide is never named as the follow-up for retrieving a single guide.

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. 3 tool updates
    • First observedcreate_search_link
    • First observedread_guide
    • First observedsearch_guides

Related MCP Connectors

Related MCP Servers

  • F
    license
    Not graded
    quality
    B
    maintenance
    Enables searching and fetching news articles with configurable date ranges, returning structured, sourced evidence for daily mineral-rights briefings.
    -
  • F
    license
    Not graded
    quality
    A
    maintenance
    Enables users and AI agents to turn natural-language data questions into vetted authoritative source recommendations, with step-by-step website navigation, API details, and traceable evidence paths to primary data.
    -
  • F
    license
    Not graded
    quality
    A
    maintenance
    Enables AI agents and applications to find authoritative primary data sources from natural-language queries, receive step-by-step website navigation guidance, and integrate evidence-backed external facts into their workflows.
    -
  • F
    license
    Not graded
    quality
    A
    maintenance
    Enables users and AI agents to turn natural-language data queries into authoritative primary-source recommendations, complete with authority levels, access URLs/APIs, and step-by-step website navigation for retrieving verifiable data.
    -
Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources