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get_accuracy

Not for clinical use. Orinyx checks medication claims against cited FDA label text for testing and evaluation only. Do not use its results to diagnose, treat, prescribe or make patient care decisions. Use synthetic test data only. The physician-review accuracy tally for a run: false-flag rate and the catch-rate estimate with its sample size; nothing when no review exists.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "run_id": "<run_id>"
    },
    "name": "get_accuracy"
  }
}

Input Schema

NameRequiredDescriptionDefault
run_idYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

No annotations are supplied, so the description carries the full behavioral burden. It usefully discloses the empty-result condition ('nothing when no review exists') and names the metrics returned, but says nothing about permissions, errors for an unknown run_id, or how long a run's review must exist before data appears.

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?

Four short sentences, none padded. The three safety disclaimers are compliance boilerplate rather than purpose text and precede the actual purpose, which is mild back-loading, but each sentence is short and carries distinct content.

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

Completeness3/5

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

An output schema exists, so return shape need not be explained, and the tool is a simple one-parameter read. The remaining gap is the undocumented run_id — its source and validity rules — which leaves the agent without enough to call it confidently on first use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single run_id parameter has 0% schema description coverage, so the description is the only place meaning could be added. It only implies run scoping via 'for a run' and never explains what a run_id is, where the agent obtains one (likely from start_a_test), or what format it takes.

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 final sentence states a specific resource and contents: a per-run physician-review accuracy tally containing a false-flag rate and a catch-rate estimate with sample size. That is concrete enough to distinguish it from siblings like get_verification or get_exam_report, though it never names a sibling or explicitly says it is different from them.

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 only implied: it applies to a single run and returns nothing when no review exists, which hints at the precondition that physician review must be present. There is no explicit when-to-use/when-not guidance relative to the other reporting tools (get_exam_report, get_verification), and the disclaimer sentences constrain clinical use rather than tool selection.

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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