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

The description discloses real side effects: 'creates a native DialogBrain meeting with translation on and returns the join + guest links', and 'arms translation on a call that already exists'. The annotations simultaneously assert readOnlyHint=true and idempotentHint=true, which cannot both be true for a tool that creates a new meeting per invocation. Per the rubric this is an annotation contradiction and scores 1, even though the description itself is the more accurate party.

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 `target` routing is correctly front-loaded, but the second sentence is a single semicolon-chained run-on enumerating nine parameters, and several clauses (silent, tts_voice, sentence_length, app_languages) largely restate the schema descriptions verbatim. Dense and informative, but the redundancy and lack of scannable structure cost it.

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 12-parameter tool with no output schema, the description covers routing exhaustively and does note the return shape ('join + guest links'). The remaining gap is sibling disambiguation against the translation-language setters and calls_dispatch_agent, plus the missing note that repeated calls with an omitted target create additional meetings.

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 description coverage is 100%, so 3 is the baseline, but the description adds route-scoping that the flat schema does not: it states target_language is always required, and groups which optional params apply where (sentence_length/tts_provider native+meeting only, silent meeting-only, agent_id meeting-only and required there). That goes beyond restating the schema fields.

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?

States a concrete verb+resource ('Send a live speech translator to a call') and then enumerates exactly what each `target` value does, so an agent knows the tool's reach without opening the schema. It is clearly distinct from generic call tools like calls_make or calls_set_translation_language because it dispatches a translator across multiple surfaces (Meet/Teams/Telegram/native).

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 routing table in the description tells the agent precisely which `target` form to pass for each surface, which is the main when-to-use decision. It stops short of naming alternatives or exclusions — e.g. it never says when to prefer calls_set_translation_language / calls_set_translation_languages over this dispatch tool, despite those siblings existing.

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