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List Ambari Metrics Metadata

list_ambari_metrics_metadata

Retrieve metric metadata from Ambari Metrics service to analyze Hadoop cluster performance, with optional filters for app, host, or metric name.

Instructions

Retrieve metric metadata from Ambari Metrics service with optional filters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
app_idNo
metric_name_filterNo
host_filterNo
searchNo
limitNo
include_dimensionsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries full burden but offers minimal behavioral insight. It doesn't disclose whether this is a read-only operation, what permissions are needed, how results are structured, pagination behavior (despite having a 'limit' parameter), or potential rate limits. The phrase 'Retrieve' implies a read operation, but no safety or behavioral details are provided.

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, efficient sentence with zero wasted words. It's appropriately sized for a tool with this complexity and gets straight to the point without unnecessary elaboration.

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?

Given the tool has an output schema (which handles return values), 6 parameters with 0% schema coverage, and no annotations, the description is incomplete. It should explain parameter purposes and behavioral context more thoroughly, though the output schema reduces the need to describe return format.

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%, so the description must compensate but only mentions 'optional filters' generically. It doesn't explain what the six parameters do, their relationships, or provide examples. The description adds almost no value beyond what's already evident from parameter names in the schema.

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 action ('Retrieve metric metadata') and resource ('from Ambari Metrics service'), making the purpose understandable. It distinguishes this as a metadata retrieval tool rather than metric data querying (which would be handled by 'query_ambari_metrics'), though it doesn't explicitly contrast with all siblings.

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?

The description mentions 'optional filters' but provides no guidance on when to use this tool versus alternatives like 'list_common_metrics_catalog' or 'query_ambari_metrics'. There's no context about prerequisites, typical use cases, or when not to use it.

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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