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metadata_get_applicability_domain

metadata_get_applicability_domain
Read-onlyIdempotent

Fetch the applicability domain configuration for a specified model to understand its valid chemical space and prediction reliability.

Instructions

Fetch applicability domain configuration for a specific model

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
model_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNo
policyNo
versionNo
criteriaNo
errorCodeNo
referencesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.0

TDQS

C2.8/5.0
Behavior2/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and openWorld, so the safety profile is fully covered. The description adds nothing beyond them: no indication of what the configuration contains, whether an unknown model_name errors or returns empty, or any auth/lookup requirement.

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?

A single front-loaded sentence with no filler, so it is concise and easy to scan. Its brevity, however, reflects under-specification rather than disciplined editing.

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 values need not be explained. Still, for a tool keyed on a free-form model identifier, the description omits how to source valid model names and how it relates to the sibling list tool, leaving a gap an agent must guess around.

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?

Schema description coverage is 0% for the single parameter, and the description only vaguely alludes to it via 'a specific model'. It never clarifies whether model_name is a human-readable name, a model ID, or where the caller obtains a valid value (e.g. from metadata_list_applicability_domain).

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 (fetch) and resource (applicability domain configuration) scoped to a model, which separates it from the sibling metadata_list_applicability_domain. No explicit sibling callout, but the singular 'for a specific model' scope is clear.

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

Usage Guidelines2/5

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

There is no statement of when to use this versus metadata_list_applicability_domain or metadata_get_model_card, and no prerequisites (e.g. you must already have a valid model_name). Usage is only inferable from the tool name.

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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