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

There are no annotations, so the description carries the full burden of behavioral disclosure. It adds useful context (FREE, history of stats, raw metrics rather than ledger data), but it does not mention rate limits, authentication, output shape, or whether the data is near-real-time. For a read-only stats tool this is acceptable but not rich.

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?

The description is compact and front-loaded: it states the cost, the core purpose, and then routes to alternatives. Every sentence contributes either purpose or usage guidance, with no wasted words.

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 low-complexity tool with one optional parameter and no output schema, the description is nearly complete. It explains what the call returns conceptually (success-rate/latency history) and how to get all vs. one resource. It does not spell out response fields, but the absence of an output schema makes that less critical here.

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 only parameter, url, is already fully documented in the schema (100% coverage). The description adds extra semantics by saying 'omit url for all,' which clarifies the default behavior beyond the schema.

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 uses a specific verb and object: 'Show success-rate/latency history for paid dispatcher calls.' It explicitly distinguishes itself from list_verified_apis, get_cashflow, and get_pnl, so an agent can infer its unique role among siblings.

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 routing guidance: 'Prefer over list_verified_apis when you need raw stats' and 'Prefer over get_cashflow/get_pnl — those are money ledgers, not reliability metrics.' This tells the agent both when to use the tool and which alternatives cover the other cases.

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