faf_stringify

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

With no annotations, the description carries full burden. It discloses that reading, parsing, and re-serialization occur, but the inconsistency between 'convert parsed data' and 'reads the file' undermines clarity. No mention of side effects or idempotency.

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 concise at three sentences with no redundancy. However, the first sentence could be more precise to avoid ambiguity.

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?

Given the tool's simplicity (1 param, no required inputs, output schema exists), the description covers the basic purpose and usage but has an internal inconsistency and lacks clarity on parameter semantics.

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 coverage is 0% with no parameter descriptions. The description only mentions 'path' implicitly via 'Reads the file' but adds no details on format, constraints, or usage. This is insufficient for an agent to understand the parameter.

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 states it converts FAF data back to YAML string, but it also says it reads and parses the file, creating ambiguity about whether the input is already parsed. The tool is distinguished from siblings like faf_read, as it produces YAML output.

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?

The description provides usage context (displaying raw .faf content, preparing for editing) but does not explicitly mention when not to use it or how it differs from sibling tools like faf_read.

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