Faf About

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

readOnlyHint=true and openWorldHint=false already establish this as a side-effect-free, non-networked read. The description adds the content scope of the response, which is modest value, but says nothing about auth, caching, or limits, and since an output schema exists the return enumeration is partly redundant. Adequate 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?

Three short clauses with the subject (FAF format info) front-loaded and the usage cue trailing. The first clause and the second sentence overlap slightly by both stating that format metadata is returned, a minor redundancy in an otherwise tight entry.

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 zero-parameter informational tool with an output schema covering the return shape, the description covers what the tool is and when to reach for it. Nothing needed to invoke it correctly is missing, though it could say a bit more about what distinguishes it from the other format-related 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 there is no parameter semantics for the description to clarify; the baseline for a no-arg tool is 4. Nothing in the description misrepresents the empty input contract.

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 names a specific resource (the FAF format) and enumerates what the tool returns: IANA registration, version, ecosystem, server version, and available MCP bridges. That is enough to distinguish it from data-manipulation siblings like faf_read, faf_validate, or faf_migrate, though no sibling is named explicitly.

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?

"Use this when users ask what FAF is or how it connects to other AI platforms" gives a clear triggering context rather than leaving usage implied. It stops short of naming alternatives (e.g. faf_model or faf_discover for deeper spec detail) or stating when not to use it, so it falls just short of a 5.

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