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get_haplogroup_mutations

List a haplogroup defining (equivalent) mutations (paternal / Y tree only). 获取某单倍群的等价突变(defining SNPs)列表(仅父系 Y 树)。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
pageNo
fieldsNoCustom fields (comma-separated), e.g. "snpname,location" / 自定义返回字段
compactNo1=compact fields only (snpid,snpname,haplogroup), much smaller / 1=仅返回精简字段,显著缩小体积
per_pageNo
include_under_observationNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It makes the read/list nature and Y-tree scope clear, but it does not disclose pagination behavior, what happens with unknown haplogroup names, or whether results are limited to observed mutations, especially given parameters like include_under_observation and per_page exist.

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

Conciseness3/5

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

The description is short and front-loaded, but the Chinese sentence is a direct duplicate of the English sentence. While not bloated, it does not strictly earn its place for an automated agent, making it slightly less than optimally concise.

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?

For a tool with six parameters, no output schema, and no annotations, the description is too thin to be complete. It leaves out when to use it, what the returned fields represent, how pagination works, and how compact/fields change the response, so an agent cannot confidently invoke it beyond the trivial default call.

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 only 33%, so the description must compensate for undocumented parameters like name, page, and include_under_observation. It does not: it only implies 'name' is a haplogroup identifier and gives no guidance on compact, fields, pagination, or the under-observation flag.

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 ('List') and resource ('haplogroup defining equivalent mutations'), and explicitly scopes it to the paternal/Y tree. This distinguishes it from sibling tools like get_haplogroup_lineage or children_haplogroups and makes its purpose immediately obvious.

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?

There is no guidance on when to use this tool versus alternatives such as get_haplogroup, resolve_snp, or get_haplogroup_lineage. The phrase 'paternal / Y tree only' implies an exclusion of mtDNA but does not explain when this is the right choice or when a sibling tool should be used.

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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