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musharna

data-aggregator-mcp

relate

Read-only

Identify relationships between research datasets by detecting shared accessions and cross-identifiers. Get join hints without reading file contents.

Instructions

Given 2-10 resource ids, return metadata-level join/harmonization HINTS: how the datasets relate and on what key they could be joined. Detects shared accessions (BioProject/SRA/GEO), shared cross-identifiers (doi/pmid/pmcid), explicit links between the inputs, and version lineage. HINTS ONLY — it does not read file columns, fetch files, or execute any join/merge/conversion; each hint names the shared value as evidence. Resolve ids first if you only have a search result. Per-id resolve failures are reported, not fatal.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idsYes2-10 source-prefixed resource ids to relate.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
input_idsYes
resolvedYes
hintsNo
errorsNo
noteNo
Behavior5/5

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

Annotations declare readOnlyHint=true. The description adds that it does not read file columns, fetch files, or execute joins, and that failures are handled gracefully. This goes beyond annotations to clarify the tool's limits.

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 concise sentences front-loading the core purpose with no redundant information. Every sentence adds value.

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

Completeness5/5

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

Given the presence of an output schema and the tool's complexity, the description covers key behavioral aspects (hints only, types of relationships, failure handling) without needing to explain return values.

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?

Schema coverage is 100% with minItems/maxItems. The description adds 'source-prefixed resource ids', providing extra format guidance not in the schema, but semantics are mostly covered by schema.

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 uses specific verbs ('return metadata-level join/harmonization HINTS') and clearly distinguishes from siblings by stating what it does not do (read file columns, fetch files, execute joins). It covers multiple relationship types explicitly.

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 advises to 'Resolve ids first if you only have a search result', giving explicit context for when to use this tool vs resolve. It also notes that per-id failures are non-fatal, setting proper expectations.

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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