list_services

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

No annotations are provided, so the description carries the full behavioral burden; it discloses the return type ('JSON string with list of services') but says nothing about ordering, pagination, authorization requirements, or failure behavior. For a no-argument read-only lister the risk is low, but the disclosure is thin.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short lines with the purpose front-loaded and no filler. The 'Returns' block is mildly redundant given an output schema exists, which keeps it off a 5.

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

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

With zero parameters, an output schema present, and a trivial read operation, the definition covers what an agent needs to invoke it. The only real omission is guidance on when to reach for this tool versus the trace- and span-oriented siblings.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so per the rubric this is the baseline 4. There are no arguments whose semantics the description would need to explain.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('List all available services') and scopes it to the OpenTelemetry backend, which is enough to separate it from sibling tools that operate on traces, spans, and LLM models. It does not explicitly name a sibling it differs from, so it falls short of a 5.

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

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

There is no explicit when-to-use or when-not-to-use statement and no named alternative, but the tool is a zero-argument discovery lister whose purpose implies the usage (enumerate services before filtering traces by service). Adequate but the definition never tells the agent to call this first or what to do with the result.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.