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Send Genome Data Chunk

upload_genome_chunk
Idempotent

Send a chunk of genome data to continue a chunked upload session, enabling stepwise file transfer for pharmacogenomic analysis.

Instructions

FOR PROGRAMMATIC MCP CLIENTS ONLY (not for LLM agents). LLM agents: use get_upload_command + load_profile instead. Sends a chunk of genome data for a chunked upload session.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
upload_idYesUpload session ID from upload_genome_start
chunk_indexYes0-based sequential chunk index
dataYesChunk of raw genome file content (plain text lines, NOT base64)
is_lastNoSet to true on the final chunk to trigger parsing
Behavior4/5

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

Annotations indicate idempotentHint=true and readOnlyHint=false, so the description's claim of sending a chunk is consistent. The description adds the context that is_last triggers parsing, but does not mention ordering constraints or data size limits. Overall, adequate but could add more 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?

Two sentences, no unnecessary words. The audience restriction is front-loaded, making the most critical information immediately visible.

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?

Given the chunked upload flow, the description places the tool correctly. It references upload_genome_start indirectly via upload_id parameter. No output schema means the agent must infer return type, but for a simple chunk upload tool this is acceptable. A mention of the required prior call to upload_genome_start could enhance completeness.

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?

Input schema has 100% description coverage for all 4 parameters. The tool description does not add new semantic information beyond what is in the schema (e.g., upload_id from start, chunk_index 0-based, data raw text). Baseline 3 applies as schema does the heavy lifting.

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 sends a chunk of genome data for a chunked upload session. It also distinguishes from sibling tools like get_upload_command and load_profile by specifying the audience (programmatic clients vs. LLM agents).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly states that this tool is for programmatic MCP clients only, and provides direct alternatives for LLM agents (get_upload_command + load_profile). This gives clear when-to-use and when-not-to-use guidance.

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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