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RNA-seq Deconvolution

rnaseq_deconvolution
Read-onlyIdempotent

Deconvolve bulk RNA-seq profiles into cell-type fractions using marker-based heuristics. Identify likely cell types from expression data or ranked genes.

Instructions

Marker-based heuristic deconvolution of a bulk RNA-seq profile into likely cell-type fractions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
expression_profileNoExpression profile keyed by gene symbol with numeric abundance values.
ranked_genesNoOptional ranked marker genes when numeric expression is unavailable.
max_cell_typesNoMaximum cell types to return. Default 5.
Behavior4/5

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

Annotations already indicate readonly, non-destructive, idempotent behavior. The description adds that the method is 'heuristic' and 'likely,' informing the agent about approximate nature. This adds value beyond annotations, though more detail on limitations would be beneficial.

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 a single, well-structured sentence that conveys the essential purpose without any extraneous words. It is appropriately front-loaded and efficient.

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?

Despite no output schema, the description does not explain what the tool returns (e.g., cell-type fractions with confidence scores). The example in the schema helps but is not in the description. Given the tool's complexity and three parameters, the description should cover return format.

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 covers all three parameters with clear descriptions, achieving 100% coverage. The tool description does not add additional meaning beyond the schema, so baseline score of 3 is appropriate.

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 performs deconvolution of bulk RNA-seq data into cell-type fractions, using a marker-based heuristic. This verb+resource combination is specific and distinguishes it from sibling tools like bulk_gene_analysis.

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 does not provide any guidance on when to use this tool versus alternatives, nor does it mention prerequisites or scenarios where it is inappropriate. The agent is left to infer usage context.

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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