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

Annotations already declare destructiveHint=true and idempotentHint=false; the description goes well beyond them by spelling out upsert rules (matching ids overwrite, unmatched prior answers are KEPT), that finalize is one-way and irreversible, and a full error taxonomy (unknown questionIds, missing required, alreadyAnswered, wrong status). Nothing contradicts the annotations, and the irreversibility disclosure adds real value.

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 long but front-loaded (purpose, then When, then pre-call steps, then upsert rules, then errors), so each block is scannable and earns its place for a mutation tool with real protocol. It is at the edge of verbose for a 3-parameter tool, keeping it from a 5.

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?

With an output schema present, return-value explanation is unnecessary, and the description covers the remaining gaps: status preconditions, confirmation requirements, upsert behavior, and error recovery. An agent has everything needed to call this correctly and recover from failures.

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 baseline is 3, but the description adds genuine meaning: it clarifies that `answers` is an array of `{questionId, answer}` limited to ids returned by `get_status`, that empty answers are valid on finalize, and how questionId matching drives the upsert. It stops short of a full 5 only because most field-level documentation is already in the schema.

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 first sentence states a specific verb+resource ('Save the founder's answers to the intake questions') and immediately characterizes the operation as 'Upsert semantics with an explicit commit flag.' It explicitly ties itself to the sibling `get_status` for reading questions, so an agent can distinguish it from siblings like `update_application` without opening a schema.

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?

Provides an explicit 'When' precondition (`status == "intake"`, after research generates questions), a pre-call checklist, and a distinction between finalize=true (confirm first, one-way) and finalize=false (autosave, no confirmation). This covers when-to-use, when-not, and the semantics that select each mode.

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