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

Annotations already communicate read-only, idempotent, open-world, and non-destructive behavior, so the description does not need to restate those. The description adds useful context about when to invoke the tool, but it does not disclose return format, rate limits, or other runtime behavior. No contradiction with the annotations.

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?

A single front-loaded sentence conveys both the purpose and the usage threshold without filler. Every clause adds value, and the fallback clause is a meaningful decision heuristic for the agent.

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?

For a meta-tool with rich parameter documentation and safe annotations, the description is largely complete: it tells the agent when to call and the schema tells it how. The lack of an output schema means return structure is not described, but 'additional tools' reasonably implies a list of tool definitions, so this is a minor gap rather than a blocking omission.

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?

Schema description coverage is 100%, and the schema itself provides detailed guidance: llm_model is for analytics only and must not be guessed, and conversation_id must come from a prior server response without parallel calls until available. The tool description adds no parameter-specific meaning, so the baseline score applies.

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?

The description clearly states that the tool checks for additional tools and gives the trigger condition: when specialized capabilities might help. This immediately distinguishes it from the domain-specific getters and search tools among its siblings, which retrieve data rather than expand the available toolset.

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?

It gives explicit when-to-use guidance: call it whenever a task might benefit from specialized capabilities, even if existing tools could work as a fallback. It does not list when-not-to-use cases, but for a discovery tool this is a clear and actionable usage rule.

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