The Cure Protocol

patient_reference_snapshot

Read-only

Read the latest frozen public T1D publication metadata, abstracts, correction metadata and freshness. Agent Council alone ratifies conclusions; source retrieval does not validate therapy effects.

Input Schema

Name	Required	Description	Default
No arguments

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"
+}

AddedOct 19, 2026

TDQS

A4/5.0

Behavior4/5

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

The annotations already declare readOnlyHint=true and openWorldHint=false, and the description adds useful context that the data is frozen, public, and includes correction metadata and freshness. It also clearly warns that source retrieval does not validate therapy effects and that Agent Council alone ratifies conclusions, which is meaningful epistemic guidance beyond the annotations.

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 two front-loaded sentences: the first states exactly what is read, and the second states the key limitation. No sentence is wasted.

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?

For a parameterless read-only snapshot with an output schema and annotations covering safety and openness, the description is complete enough. It covers what is returned, the frozen/public nature of the data, and the critical caveat about validation.

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 tool takes zero input parameters, so there are no parameter semantics to document. The baseline for a parameterless schema is 4.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific read operation and resource: the latest frozen public T1D publication metadata, abstracts, correction metadata, and freshness. It is clear what the tool returns, though it does not explicitly distinguish itself from adjacent tools such as search_literature or data_freshness.

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

Usage Guidelines3/5

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

Usage is implied by 'Read the latest frozen...' and the caveat that source retrieval does not validate therapy effects. However, the description does not state when to use this snapshot versus search_literature, data_freshness, whats_new, or other sibling tools.

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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