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Glama

health_check

AMLOracle server status, backend checks, and watchlist cache status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

B3.3/5.0
Behavior2/5

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

No annotations are provided, so the description carries full responsibility for disclosing behavior. It lists what is checked (server status, backend, cache), but it does not mention whether the operation is read-only, any potential side effects, or the format/type of result returned. This is a notable gap for a diagnostic tool, as the agent cannot infer the safety or output characteristics.

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 concise sentence that efficiently enumerates the three areas of health checking. No filler or redundant information exists, and the most important information is front-loaded.

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

Completeness2/5

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

With no annotations and no output schema, the description needed to explain what the tool returns or how the results are presented. It only states what is checked, leaving the output structure and possible values unspecified. For a no-parameter tool, the response format is the primary unknown, so the description feels incomplete.

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 and an empty input schema, so there is no parameter information to explain. Per the rubric, a zero-parameter tool receives a baseline of 4, and the description does not need to compensate for missing parameter details since there are none.

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 clearly states the tool's scope: it checks AMLOracle server status, backend health, and watchlist cache status. While it lacks an explicit verb like 'check' or 'get', the intent is obvious. It effectively distinguishes from sibling tools, which focus on data lookups like adverse media or PEP checks.

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 is for diagnosing system health, but it does not explicitly state when to use it instead of alternatives or any exclusions. There is no mention of prerequisites or situations where it might not be appropriate, leaving the usage context only implicitly derived from the name and description.

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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TDQS

A3.7/5.0
Disambiguation5/5

Each tool targets a distinct AML function: sanctions screening, PEP checks, adverse media, country risk, transaction risk, UBO lookup, and regulatory news. The only potential overlap is between health_check and watchlist_update, but their purposes (server status vs data refresh) are clearly separated.

Naming Consistency4/5

All names are lowercase with underscores and descriptive, but the pattern mixes noun phrases (adverse_media, transaction_risk) with verb phrases (pep_check, sanctions_screen). This is mostly consistent but not a strict verb_noun convention.

Tool Count5/5

Twelve tools is well within the optimal range for a specialized AML screening service. Each tool adds a distinct capability without redundancy, making the set feel appropriately scoped.

Completeness5/5

The tool set covers the major AML workflow: sanctions screening, PEP, adverse media, country risk, transaction monitoring, UBO identification, and regulatory intelligence. It also includes operational tools (health check, watchlist update), leaving no critical gaps for the stated domain.

Resources