Raw API Call

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

No annotations are provided, so the description carries the full burden. It discloses only the HTTP method (GET), but omits authentication requirements, rate limits, error behavior, and whether calls hit a live production API. This is thin for a raw API tool.

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 sentences, front-loaded with the core action and followed by the use case. There is no filler, though the tool's complexity means the brevity leaves important details to other dimensions.

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 no annotations, no output schema, and 0% parameter description coverage, the description is far too incomplete for a flexible raw-call tool. It should explain authentication, path/account/paramsJson usage, and response behavior, but provides none of that.

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 0%, so the description must compensate. It loosely maps 'Loggly API path' to the path parameter and implies query parameters via GET, but it says nothing about the account parameter or the paramsJson format and default JSON, leaving most parameter semantics unexplained.

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 gives a specific verb (GET) and resource (Loggly API path) and hints at a discovery use case. It does not explicitly differentiate this raw escape hatch from the many specialized sibling tools, but the purpose is clear.

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 states a use case ('useful while discovering exact endpoint behavior'), which implies when to use it, but there are no alternatives named and no when-not conditions. The guidance is implied rather than explicit.

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