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

No annotations are provided, so the description carries the full burden. It usefully discloses the sync intent and the external-client/chat trigger, but omits what happens to the proposal after the call, whether the change is reversible, permission requirements, and how 'reset' maps to the 'pending' enum value. Adequate but with clear behavioral gaps for a mutation tool.

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?

Two sentences, front-loaded with the core action before the usage context. Efficient with no filler, though the second sentence packs several ideas (external clients, chat trigger, sync, modal avoidance) into one long clause.

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 mutation tool with no annotations and no output schema, the description covers purpose and trigger but leaves out prerequisites, side effects, and return behavior. The 100%-covered schema handles parameters, so the remaining gap is behavioral rather than structural.

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 the schema already documents all five parameters including the status enum and the optional proposalId fallback. The description's approve/reject/reset wording loosely maps to the enum but adds no syntax or format detail beyond the schema; baseline 3 applies.

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 specific verbs (approve, reject, reset) and the resource (a saved proposal), so the operation is unambiguous. It does not explicitly distinguish itself from close siblings like update_proposal or save_proposal, but the status-setting scope is clear from the text alone.

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?

Gives a concrete usage context: external MCP clients, when the user approves or rejects a proposal in chat, to keep Sequencer edit state in sync without the Spark-only modal. It stops short of naming the alternative tool to use when that condition doesn't hold, so it's clear context without explicit exclusions.

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