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Glama

Server Details

AI marketplace — flights, tours, activities, transport & more via MCP. No auth required.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL
Repository
Kaanthan24/agnigateway-mcp
GitHub Stars
0
Server Listing
AgniGateway Marketplace

Glama MCP Gateway

Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.

MCP client
Glama
MCP server

Full call logging

Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.

Tool access control

Enable or disable individual tools per connector, so you decide what your agents can and cannot do.

Managed credentials

Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.

Usage analytics

See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.

100% free. Your data is private.
Tool DescriptionsA

Average 3.7/5 across 5 of 5 tools scored. Lowest: 3.1/5.

Server CoherenceA
Disambiguation4/5

The tools are mostly distinct, with search_travel, get_bundle, and initiate_booking clearly separated. However, get_offer_detail and check_availability both relate to price/availability information, which could cause misselection if an agent doesn't read descriptions carefully.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case: search_, get_, check_, initiate_. The get_ prefix for retrieval operations is uniform, making the naming predictable and easy to parse.

Tool Count5/5

With 5 tools, the server is well-scoped for a travel marketplace. Each tool covers a necessary step in the search-to-booking journey without redundancy or bloat.

Completeness5/5

The toolset covers the entire customer journey: search for offers, view details, check availability, initiate booking, and retrieve bundle compositions. There are no obvious missing operations for the marketplace's stated purpose.

Available Tools

5 tools
check_availabilityBInspect

Check current availability and price for a specific offer.

ParametersJSON Schema
NameRequiredDescriptionDefault
source_idYesOffer source_id
Behavior2/5

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

With no annotations, the description must carry the full burden of behavioral disclosure. It only states the action and does not reveal whether the check is read-only, what happens if the offer is unavailable, or any required permissions or side effects.

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?

The description is a single, focused sentence that is immediately understandable. No wasted words or redundant information.

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 simple one-parameter tool, the description is minimally sufficient but leaves gaps: no output schema, no behavioral details, and no usage context relative to the sibling tools. It would benefit from clarifying that it expects an offer ID from a prior search.

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 100% since source_id has a description. The tool description adds the context of 'specific offer' but does not explain how source_id is obtained or what format it should be in, so it does not significantly go beyond the schema.

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 clearly states the action ('Check') and the resource ('current availability and price for a specific offer'). It distinguishes itself from search_travel and initiate_booking, though it overlaps somewhat with get_offer_detail; 'availability' adds specificity.

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 its siblings. It does not mention that it should be used after obtaining a specific offer or before booking, nor does it contrast with get_offer_detail or search_travel.

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

get_bundleAInspect

Get a composed bundle for a hotel: the hotel product plus matching addon services (co-working pass, airport transfer, etc.). Returns a bundle_value_score and merged summary.

ParametersJSON Schema
NameRequiredDescriptionDefault
addon_typesNoOptional keyword filter for addon types, e.g. "workspace" or "transfer"
hotel_source_idYessource_id of the hotel to bundle
Behavior4/5

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

With no annotations provided, the description carries the burden of behavioral disclosure. It clearly states that the tool returns a bundle_value_score and merged summary, and the verb 'Get' implies a read-only operation. However, it does not explicitly confirm no side effects or mention any permissions/errors, which would make it fully transparent.

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?

The description is two sentences long, front-loaded with the core purpose, and every sentence adds value. It avoids redundancy and is easy to parse.

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?

Given the tool's low complexity (2 params, no output schema, no nested objects), the description is complete. It states the purpose, gives examples of addons, and names the return values, which is sufficient for an agent to invoke it correctly.

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 description coverage is 100%, so the baseline is 3. The description adds some contextual meaning by naming example addons (co-working pass, airport transfer) that map to the addon_types parameter, but it does not add significant syntax or format details beyond the schema.

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 clearly states the tool's purpose: 'Get a composed bundle for a hotel' and explains what that bundle consists of (hotel product plus addon services). This verb+resource combination is specific and distinguishes it from sibling tools like check_availability or get_offer_detail.

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?

The description provides clear context for when to use it (when a hotel bundle with addons is needed) but does not explicitly mention alternatives or when not to use it. Sibling tools could be differentiated by their names, but no direct comparison is made.

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

get_offer_detailAInspect

Get full enriched details for a specific travel offer by its source_id.

ParametersJSON Schema
NameRequiredDescriptionDefault
source_idYesOffer source_id from a search_travel result
Behavior2/5

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

No annotations are provided, so the description must carry the full burden. 'Get' implies a read-only operation, but the description does not specify return format, potential errors, or what 'enriched details' entails. This is a significant gap for a tool with no annotation support.

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?

One clear, front-loaded sentence with no extraneous words. Every word contributes to the tool's purpose.

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 simple single-parameter tool, the description is minimally adequate. However, without an output schema, it does not clarify what 'full enriched details' includes or the response structure, leaving some ambiguity.

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 100% and the source_id description already explains it comes from search_travel results. The tool description adds no additional meaning beyond restating the parameter, so baseline 3 is appropriate.

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 'Get' and identifies the resource as 'full enriched details for a specific travel offer', clearly distinguishing it from sibling tools like search_travel or check_availability. It also specifies the required identifier (source_id).

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?

The description implies usage after obtaining a source_id from search_travel, as stated in the parameter description. It provides clear context for when to retrieve offer details, though it does not explicitly mention alternatives or exclusions.

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

initiate_bookingAInspect

Generate a tracked affiliate booking link for an offer. Logs the transaction for commission tracking. Return the booking_url to the user to complete their reservation.

ParametersJSON Schema
NameRequiredDescriptionDefault
source_idYesOffer source_id to book
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses that the tool logs the transaction for commission tracking and returns a booking_url for the user to complete the reservation, clarifying this is initiation, not final booking. However, it omits error handling, auth requirements, or idempotency, but these are not critical for a simple link generator.

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?

Three short sentences, each with a distinct purpose: action, side effect, and return value. No fluff or redundancy, front-loaded with the main action.

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?

Given the tool's simplicity (single parameter, no output schema, no annotations), the description covers all essential aspects: what it does, the side effect, and what to return. It is complete for the tool's complexity.

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 100% with the parameter described as 'Offer source_id to book.' The description only adds 'for an offer,' which does not meaningfully enhance the schema. Since the schema fully documents the parameter, the description does not exceed the baseline.

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 clearly states the tool's function: 'Generate a tracked affiliate booking link for an offer.' It uses specific verbs (Generate, Logs, Return) and identifies the resource (affiliate booking link), distinguishing it from sibling tools that focus on searching, availability, or details.

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 this is the booking step after an offer is selected ('for an offer'), but it does not explicitly state when to use this tool versus alternatives like check_availability or get_offer_detail. There is no direct comparison or exclusion, so usage is implied rather than clearly guided.

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

search_travelBInspect

Search travel offers (hotels, tours, bundles) using natural language. Returns enriched, agent-optimised results including digital nomad scores, wifi quality, and direct booking links.

ParametersJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of results (default 10, max 20)
queryYesNatural language query, e.g. "remote work hotel Berlin with fast wifi under $150"
filtersNo
Behavior2/5

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It mentions the enriched output (digital nomad scores, wifi quality, direct booking links) but omits whether the operation is read-only, requires authentication, or has rate limits. This leaves the agent uncertain about side effects and permissions.

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?

The description is a single, information-dense sentence that starts with the core action and resource, then lists valuable output features. Every word contributes to understanding, with no redundancy.

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

Completeness2/5

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

The tool has no output schema, so the description should describe return structure more thoroughly. It mentions enriched results and specific scoring fields but omits pagination, sorting, error handling, or how the 'filters' object is used. The nested parameter lacks a top-level description, creating ambiguity for agents.

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 description coverage is 67% (query and limit have descriptions, filters does not at the top level). The description adds context by giving a natural-language search example and result enrichment details, but it doesn't explain the 'filters' object beyond what the schema already provides. It partially matches the product_type enum by naming hotels, tours, bundles, but omits flights and addons.

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 specific verb ('Search') and resource ('travel offers'), listing categories (hotels, tours, bundles). This clearly distinguishes it from siblings like get_offer_detail or check_availability, which are more focused on specific offers or availability checks.

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 this tool is for broad searching of offers but does not explicitly state when to use it versus alternatives like get_offer_detail or initiate_booking. No when-not-to-use guidance is provided, leaving context implied rather than explicit.

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

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