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Pathway Analysis

pathway_analysis
Read-onlyIdempotent

Search KEGG pathways, retrieve their genes, or get Reactome and KEGG pathway context for a gene.

Instructions

Merged pathway workflow. Search KEGG, retrieve genes for a pathway, or assemble Reactome plus KEGG context for a gene.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionNoWorkflow step.auto
dbNoPreferred pathway database.auto
queryNoFree-text pathway search term.
gene_symbolNoGene symbol for Reactome or KEGG context.
pathway_idNoKEGG pathway identifier such as 'hsa05200'.
organismNoKEGG organism code. Default 'hsa'.
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, covering safety and idempotency. The description adds no further behavioral context (e.g., data source freshness, failure modes, or that it combines two databases). Given the strong annotation coverage, a 3 is appropriate.

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 a single sentence that communicates core capabilities without fluff. However, it lacks front-loading of the most critical information (the action parameter) and could benefit from a more structured format (e.g., listing actions).

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 and 6 parameters with multiple actions, yet the description does not explain what the tool returns or describe the 'auto' action. This leaves the agent without crucial context about invocation results and action selection, making the description incomplete.

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%, so all parameters have descriptions in the schema. The tool description does not add additional meaning beyond what the schema provides (e.g., it mentions actions but does not clarify which action to use for which scenario). Per guidelines, baseline is 3 with high coverage.

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 lists three specific capabilities (search KEGG, retrieve genes for a pathway, assemble Reactome plus KEGG context) tied to actions in the schema. It clearly identifies the tool as a merged pathway workflow, but the term 'merged pathway workflow' is somewhat vague and the 'auto' action is not described, slightly reducing clarity.

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?

The description provides no guidance on when to use this tool versus alternatives. With 30+ sibling tools including 'network_enrichment' and 'get_gene_info', explicit when-to-use or when-not-to-use guidance is missing, limiting the agent's ability to select the correct tool.

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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