faf_chat

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

The description claims 'generation' (implying a write operation) while annotations set readOnlyHint: true, indicating the tool is read-only. This contradiction misleads about side effects. The description does not disclose behavioral traits beyond annotations, nor does it clarify that the tool does not modify state.

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 a single sentence with key information front-loaded ('Natural language...Ask 6W questions'). Emojis add visual cues but do not detract. It is concise without being sparse, earning its place. Minor improvement possible by separating the purpose from the method.

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 no parameters, no output schema, and the presence of many sibling tools, the description is incomplete. It omits critical context such as whether the tool modifies state (contradicted by annotations), how results are returned, prerequisites (e.g., existing project context), and the conversational nature relying on chat history. The completeness gap is significant for an interactive chat tool.

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 input schema has zero parameters, and schema description coverage is trivial (100% vacuously). The description adds the key semantic of interaction via 6W questions, which compensates for the lack of parameters. Following guidelines, baseline is 4 for no parameters, and the description adds value by characterizing the input modality.

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 identifies the tool as a natural language chat for 'project.faf generation' using 6W questions. It specifies the verb 'Ask' and the resource 'project.faf generation', distinguishing it from sibling tools by its interactive, question-driven approach. However, 'generation' is slightly ambiguous—it could imply creating a new entity versus refining context.

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 implies usage for building context through questions but does not explicitly state when to use this tool over siblings like faf_what or faf_guide. No alternatives or exclusion criteria are provided, leaving the agent to infer the context from the natural language description.

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