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analyze_bioinformatics_task

Analyzes your bioinformatics analysis request, creates a workflow plan, and generates small Python scripts to execute the analysis, producing reports and visualizations.

Instructions

Analyze user intent and create a bioinformatics workflow plan. This tool helps understand your analysis goals and prepares the workflow structure. After this, ask Claude to generate Python scripts (≤100 lines each), then use execute_claude_script to run them.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_requestYesThe user's bioinformatics analysis request in natural language
data_filesYesList of input data file paths (e.g., ["C:\Users\username\data.h5ad", "data2.csv"]). Include full file paths.
additional_contextNoAny additional context or specific requirements
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 states the tool 'analyzes' and 'creates a plan', implying read-only, but does not specify side effects, permissions, or output format. The instruction to ask Claude for scripts is meta-guidance, not behavioral transparency.

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 is extremely concise: two sentences covering purpose and usage flow. Every sentence earns its place with no redundancy. It is front-loaded with the primary action.

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?

Given no output schema and three parameters, the description fails to specify what the tool returns (the workflow plan). The agent lacks information on how to use the tool's output. The mention of script generation is helpful but not sufficient to cover return value expectations.

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 the description need not repeat parameter details. The description does not add new semantics beyond the schema's descriptions. Baseline of 3 is appropriate as no value is added.

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 the tool analyzes user intent and creates a bioinformatics workflow plan. It distinguishes from siblings (debug_workflow, execute_claude_script) by placing itself as the initial planning step. However, it could be more specific about the form of the workflow plan output.

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 provides clear usage context: use this tool first to understand goals and prepare workflow, then generate scripts (≤100 lines), then execute them. It implies the tool is for planning before script generation/execution. Explicit 'when not to use' or alternatives are missing, but the flow is well-defined.

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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