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

Annotations already cover the safety profile (readOnly, idempotent, closed-world, non-destructive), and the description adds real behavioral context beyond them: results are ordered by publication date, every position must be dated and attributed, hedged claims stay hedged, and both sides of a reversal are surfaced. This is meaningful output-shaping guidance, though it omits any note on result size or pagination.

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 purpose and its distinguishing ordering are front-loaded, and the piece is short. The final sentence ('A 2023 position is a 2023 position') restates the earlier 'never judged' intent, costing a little density.

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 two-parameter, no-output-schema read tool, the description supplies what the agent needs: the record set, its ordering, the optional debate scope, and the attribution/hedging expectations. Nothing essential is missing, though a note on result volume would round it out.

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%, so the description must carry the parameters, and it does map both: 'one speaker' identifies the required person and 'optionally on one debate' clarifies that debate_id is an optional scope filter. It still omits format expectations (e.g., name form or debate_id style), so the compensation is partial.

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 a specific verb and resource: one speaker's takes ordered by episode publication date, optionally scoped to one debate. The 'in order of publication date' framing clearly separates it from a static stance lookup, but the siblings (find_perspectives, get_stances) are never named, so differentiation is left to inference.

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?

Usage is implied well enough ('one speaker's takes... optionally on one debate') to signal when the tool fits and what the debate_id scoping does. However, there is no explicit when-to-use versus find_perspectives/get_stances guidance and no exclusions, so the agent must infer the choice from sibling names.

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