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List lab panels

list_lab_panels
Read-onlyIdempotent

List Picardo’s blood test panels. Each has an ID for get_lab_panel and prepare_order_link, a summary, who it is for, how many tests everyone gets and their subtotal.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_lab_panels"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
panelsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world behavior, so safety is fully covered. The description adds that entries carry an ID, a summary, an audience, a test count, and a subtotal, but since an output schema exists this content is largely redundant rather than new behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two compact sentences with the core purpose front-loaded and no filler. The phrasing "how many tests everyone gets" is slightly informal for a field description, but nothing is wasted.

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?

With rich annotations, an output schema, and no parameters, the description only needs to establish the entry-point role and the ID's downstream use, which it does. A brief pointer to search_lab_tests as the alternative would have made it complete.

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 parameters, so the baseline of 4 applies; nothing in the schema needs semantic elaboration and the description correctly does not invent any.

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?

States a specific verb and resource ("List Picardo's blood test panels") and previews the returned fields. It also distinguishes itself from siblings by positioning the returned ID as the input to get_lab_panel and prepare_order_link, though it never explicitly contrasts with search_lab_tests.

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: the mention that each panel has an ID "for get_lab_panel and prepare_order_link" suggests this is the entry point before those tools, but no explicit when-to-use or when-not guidance, and no alternative is named as a substitute.

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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