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analyze_gene_evolution

Analyze evolutionary relationships of a gene across species, retrieving homology and sequence data for specified taxonomic levels.

Instructions

基因进化分析工具 - MCP接口包装

Args: gene_symbol: 基因符号(如 TP53, BRCA1) target_species: 目标物种列表(如 ["mouse", "rat", "zebrafish"]) analysis_level: 分析层级(如 Eukaryota, Metazoa, Vertebrata) include_sequence_info: 是否包含序列信息

Returns: 进化分析结果

Examples: # 分析 TP53 在哺乳动物中的进化 analyze_gene_evolution("TP53", ["human", "mouse", "rat", "dog"])

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gene_symbolYes
target_speciesNo
analysis_levelNoEukaryota
include_sequence_infoNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
target_geneYes
orthologsYes
analysis_infoYes
conservation_scoresYes
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only describes parameters and returns, but does not mention side effects, read-only nature, permissions, or other important behaviors.

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 well-structured with Args, Returns, and an Example section. It is concise and front-loaded with 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?

Despite having an output schema, the description provides only vague return information ('进化分析结果'). It lacks guidance on when to use among siblings and does not cover error cases or prerequisites.

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?

Input schema has 0% description coverage, but the description provides Chinese explanations for all 4 parameters with examples, adding meaningful semantic context beyond the schema types.

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 it is a gene evolution analysis tool and lists parameters, but does not differentiate from sibling tools like build_phylogenetic_profile or kegg_pathway_enrichment.

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 on when to use this tool versus alternatives. The description lacks any when-to-use or when-not-to-use advice.

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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