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Glama

Server Details

Cricket travel specialist. Search tours, destinations, schedules, and submit enquiries.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL

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MCP client
Glama
MCP server

Full call logging

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Tool access control

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Managed credentials

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Usage analytics

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Tool DescriptionsA

Average 4.6/5 across 1 of 1 tools scored.

Server CoherenceB
Disambiguation5/5

With only one tool, there is no possibility of confusion with other tools. The single tool has a clear and distinct purpose.

Naming Consistency5/5

The tool name 'get_about' follows a consistent verb_noun pattern. Since it is the only tool, naming is trivially consistent.

Tool Count2/5

A single tool feels insufficient for a cricket travel service. Users would expect tools for browsing tours, booking, or contacting, making this count too low for the apparent scope.

Completeness1/5

The server only provides company information, with no tools for core travel functions like listing tours, booking, or destinations. It is severely incomplete for a cricket travel service.

Available Tools

1 tool
get_aboutAInspect

Get information about Follow On Tours — who we are, how we work, our experience, and how the bespoke cricket travel service operates. Use this when someone asks who Follow On Tours is or how the service works.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

Behavior4/5

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

The description indicates a read-only operation without side effects, but omits details like authentication requirements or output structure. However, given the tool's simplicity (zero parameters, no schema), the lack of additional behavioral notes is acceptable.

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 consists of two terse sentences, the first stating the action and the second providing usage context. No unnecessary words or repetition.

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?

For a parameterless tool with no output schema, the description sufficiently explains what the tool returns (company information) and when to use it. However, it does not specify the return format (e.g., text vs. structured data), which would improve completeness.

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?

There are zero parameters, and the schema coverage is 100% (empty). Per the rubric, no parameters baseline is 4. The description does not need to add parameter details.

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 it retrieves information about Follow On Tours, specifying the exact content areas (who they are, how they work, their experience, and their cricket travel service). The verb 'Get' combined with the resource 'information about Follow On Tours' makes the purpose unambiguous.

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

Usage Guidelines5/5

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

The description explicitly provides usage guidance: 'Use this when someone asks who Follow On Tours is or how the service works.' This directly tells the agent the triggering context, leaving no ambiguity.

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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