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Glama

Lifestyle Medicine Knowledge

Server Details

Semantic search over a 200-chunk ACLM lifestyle medicine knowledge base.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL

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MCP server

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Tool DescriptionsA

Average 3.7/5 across 1 of 1 tools scored.

Server CoherenceA
Disambiguation5/5

Only one tool exists, so there is no possibility of confusion with other tools.

Naming Consistency5/5

The single tool follows a clear verb_noun pattern (lifestyle_query), which is consistent by default.

Tool Count2/5

A single tool for a broad domain like lifestyle medicine (covering 6 pillars, nutrition, drug interactions, etc.) is too few to provide comprehensive functionality.

Completeness3/5

The query tool covers retrieval of evidence-based answers, but lacks any ability to browse, update, or interact with the knowledge base in other ways.

Available Tools

1 tool
lifestyle_queryA
Read-only
Inspect

Ask any lifestyle medicine question. Returns evidence-based answer with citations from a 200-chunk knowledge base spanning ACLM 6-pillars, B.O.N.S.A.I. nutrition, drug-food interactions, lab interpretation, GLP guidance, wearables, and CGM signal interpretation.

ParametersJSON Schema
NameRequiredDescriptionDefault
queryYes
pillarNoany
max_resultsNo
Behavior3/5

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

Annotations provide readOnlyHint=true, so the description adds value by noting the evidence-based nature and knowledge base size. However, it does not disclose additional behavioral traits beyond that.

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

Conciseness4/5

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

The description is concise and front-loaded with the core purpose. However, the long list of topics could be structured more clearly.

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?

The description covers the tool's function and knowledge base, but lacks details on parameters and output format (no output schema). Given the complexity, more completeness is needed.

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?

With 0% schema description coverage, the description should compensate, but it only indirectly hints at the pillar parameter through the list of topics. It does not explain the pillar enum values, max_results, or query format.

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: 'Ask any lifestyle medicine question. Returns evidence-based answer with citations.' It specifies the domain and the breadth of topics covered, making it easy for an agent to understand what the tool does.

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 broad usage for any lifestyle medicine question, but lacks explicit guidance on when not to use it or alternatives. Since there are no sibling tools, this is acceptable.

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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