dialectic

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

With no annotations provided, the description carries the burden of behavioral disclosure. It mentions that mode=thesis/antithesis/synthesis requires prior text (thesis/antithesis params) and that execute=true runs prompts through backends, which adds genuine behavioral context. However, it doesn't describe error behavior, what happens on backend failure, token/rate characteristics, or the default no-execute behavior. The description adds useful context beyond the schema but is not rich in behavioral disclosure.

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, front-loaded with the core concept, and efficiently covers modes, response_style, and phase requirements in two sentences. It avoids redundancy with the schema and earns its place by explaining conceptual relationships (mode structure, phase dependencies) that the schema doesn't capture. Slightly dense but 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 13-parameter tool with no output schema and no annotations, the description captures the core dialectical model and mode selection logic. However, it doesn't explain interaction effects between execute/backend/use_search/use_council parameters, what the return value looks like in each response_style, or the purpose of lesser-known flags like use_council. Given the tool's complexity and zero annotation coverage, more behavioral context would be needed for full completeness.

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 100%, so the schema already documents all 13 parameters thoroughly. The description adds value by clarifying that thesis/antithesis params are required for specific modes and that response_style controls output shape. However, most parameter semantics are already well-covered by the schema itself, so the description's marginal contribution is modest.

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 states the tool performs dialectical reasoning with a thesis → antithesis → synthesis structure, and enumerates its modes. It distinguishes itself from sibling tools by specifying the dialectical reasoning model and individual phase capabilities, though it doesn't explicitly differentiate from the autocode siblings (which appear to be a different category of tools).

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 structured dialectical analysis and explains mode selection (single_shot vs workflow vs phases), but doesn't provide when-to-use vs when-not-to-use guidance or compare against sibling tools. It does guide mode choice implicitly by explaining what each mode does, but no exclusions or contextual cues about when this tool is the right choice.

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