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AIops-tools

proxy-aiops

list_services

Retrieve backend services with per-service server-up counts to monitor health, optionally filtered by proxy target.

Instructions

[READ] Services / backends with per-service server-up counts.

Args: target: Proxy target name from config; omit for the default.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetNo
Behavior2/5

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

Annotations are absent, so the description carries full burden. It discloses the operation is a read ([READ]) but lacks details on behavior such as whether it queries live backends, error handling, or output structure. Minimal extra context beyond the purpose.

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 extremely concise, with a clear headline and a brief args section. No wasted words, front-loaded purpose, and every sentence earns its place.

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?

No output schema or annotations, so description should provide more context on return structure and usage nuance. It gives a high-level purpose and parameter but omits details like output format and when to use it, making it incomplete for a low-complexity tool.

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?

Schema has no descriptions (0% coverage). The description explains 'target' as a proxy target name from config and notes omitting uses default, adding meaning beyond the schema. This adequately covers the single parameter.

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 lists services/backends with per-service server-up counts, using a specific verb and resource. However, it doesn't explicitly differentiate from sibling tools like service_detail or list_upstreams, so it lacks sibling differentiation.

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?

No guidance on when to use this tool vs alternatives. It doesn't mention any exclusions or suggest other tools for different needs. The only usage context is implicit in the purpose, providing no explicit usage direction.

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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