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mosaic_list_subindications

Read-onlyIdempotent

List oncology sub-indications (histology- or biomarker-defined subtypes) under a parent indication. Each entry includes target count.

Instructions

List fine-grained oncology sub-indications in the knowledge graph.

Sub-indications are histology- or biomarker-defined cancer subtypes (e.g. 'EGFR-mutant NSCLC', 'triple-negative breast cancer') organized under broader parent indications. Optionally pass parent_indication (id, name, or synonym, e.g. 'lung cancer' or 'NSCLC') to list only its children. Each entry includes the number of linked targets.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint. The description adds that each entry includes the number of linked targets, which is useful but not extensive. No contradictions or additional behavioral details.

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?

Three sentences with clear structure: main purpose, definition, optional usage and return info. No fluff, front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Adequately covers purpose, usage, and return content for a simple list tool with one optional parameter and an output schema. Does not mention pagination or sorting, but these are minor gaps.

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?

The only parameter is described in both schema and tool description. The tool description adds value by explaining the parameter's purpose with examples and stating that it can accept id, name, or synonym, which is more than the schema's description.

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?

Clearly states it lists fine-grained oncology sub-indications, defines them as histology- or biomarker-defined subtypes, and distinguishes from sibling tools like mosaic_list_indications by focusing on sub-categories.

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?

Provides explicit context on when to use (to list sub-indications) and how to filter by parent indication with examples. Does not explicitly mention when not to use or alternatives, but the sibling names imply differentiation.

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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