The Cure Protocol

get_gene

Read-only

GET A HUMAN GENE by HGNC symbol or Ensembl id: identifiers (Entrez, Ensembl, UniProt), location, summary and disease associations flagged by protocol domain. NEXT: get_pathways for Reactome context, search_literature for sources.

Input Schema

Name	Required	Description	Default
`symbol`	Yes	HGNC symbol or ENSG id.
`diseases`	No	Disease associations to include.

Output Schema

Name	Required	Description	Default
`data`	No	The answer. Shape depends on the tool; describe_tool documents it.
`_meta`	No	source, generatedAt, sources (per-source lastSyncedAt and ageHours), rateLimit, disclaimer.

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedOct 28, 2026

changedOutput schema / (root)

Previous value: -nullNew value: +{
+  "$schema": "http://json-schema.org/draft-07/schema#",
+  "additionalProperties": {},
+  "properties": {
+    "_meta": {
+      "additionalProperties": {},
+      "description": "source, generatedAt, sources (per-source lastSyncedAt and ageHours), rateLimit, disclaimer.",
+      "propertyNames": {
+        "type": "string"
+      },
+      "type": "object"
+    },
+    "data": {
+      "description": "The answer. Shape depends on the tool; describe_tool documents it."
+    }
+  },
+  "type": "object"
+}

Changed1 schema field changedOct 24, 2026
- addedInput schema / properties / symbol / maxLength
```
Added value: +20000
```
AddedOct 20, 2026

TDQS

A4/5.0

Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is known. The description adds that disease associations are 'flagged by protocol domain', which is useful context, and the output schema covers return structure. It does not add further behavioral details like rate limits or how stale data is handled, so this is a moderate addition above the annotation baseline.

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 compact sentences front-load the purpose and follow with concrete next-step routing. Every clause earns its place, with no filler.

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 output schema and annotations, the description is nearly complete for a simple two-parameter lookup: it states inputs, outputs in broad terms, and next steps. The only small gap is the absence of an explicit contrast with resolve_identifiers when the identifier format is uncertain.

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 description coverage is 100%, and both parameters ('symbol' and 'diseases') are documented there. The description echoes the accepted identifier formats but adds no extra syntax, default behavior, or constraints beyond what the schema already provides, so it meets the baseline for high schema coverage.

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 opens with a specific verb and resource ('GET A HUMAN GENE by HGNC symbol or Ensembl id') and immediately enumerates the returned content (identifiers, location, summary, disease associations). It is clearly distinguishable from siblings like get_variant, get_pathways, or resolve_identifiers because it names the exact inputs and scope.

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 guidance is explicit about what to do next ('NEXT: get_pathways for Reactome context, search_literature for sources'), which helps routing. However, it does not state when to use this tool versus resolve_identifiers or get_expression, so the when-to-use condition is implied rather than fully enumerated.

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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