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Read-onlyIdempotent

What this server is and is not, what to send it, benchmark evidence for why to use it, the beta state, and terms.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
apiNo
whyNo
betaNo
codeNo
demoNo
nameYes
scopeNo
agentsNo
inputsNo
limitsNo
releaseYesIPD-IMGT/HLA release every verdict was computed against.
beta_keyNo
researchNo
commercialNo
disclaimerNo
beta_signupNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedOutput schema / properties / research
      Added value: +{
      +  "type": "string"
      +}
  2. Changed1 schema field changed
    • addedOutput schema / properties / limits
      Added value: +{
      +  "type": "string"
      +}
  3. Changed2 schema fields changed
    • addedOutput schema / properties / inputs
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / properties / scope
      Added value: +{
      +  "type": "string"
      +}
  4. Changed3 schema fields changed
    • addedOutput schema / properties / beta
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / properties / beta_key
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / properties / beta_signup
      Added value: +{
      +  "type": "string"
      +}
  5. First observed

TDQS

A3.9/5.0
Behavior4/5

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

The annotations already declare readOnlyHint and idempotentHint, so safety is covered. The description adds meaningful behavioral context beyond that: it mentions benchmark evidence, beta state, and terms, which signal maturity, expected usage rationale, and legal constraints. This is useful context an agent cannot derive from annotations or schema.

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 a single compact sentence with no filler or redundant phrasing. It front-loads the core purpose ('what this server is and is not') and then efficiently lists the remaining content categories. Every phrase earns its place.

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 there are no inputs and an output schema exists, the description does not need to explain return values. It covers the essential decision-making information: what the server is, what to send, performance evidence, beta status, and terms. It is complete enough for an agent to invoke confidently, though a more explicit 'returns information about...' framing would make it fully unambiguous.

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 has zero parameters, so the input schema already provides full coverage. The description's mention of 'what to send it' is contextually relevant but does not need to define any parameter semantics because there are none. Baseline 4 is appropriate for a no-parameter tool.

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 identifies the tool as being about 'this server' and enumerates the content areas it covers: server identity, inputs, benchmark evidence, beta state, and terms. It is not a tautology and clearly distinguishes this informational endpoint from the sibling tools, which are all domain-specific biological operations.

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?

The description implies the tool should be used when an agent needs to understand what the server does, what to send it, and why it should be used, but it does not explicitly state when to use this tool versus the sibling alternatives. A direct 'use this to get server overview and limitations' statement would strengthen this.

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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