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

With no annotations provided, the description fully carries the behavioral transparency burden. It discloses the exact side effects (appends a timestamped entry to confirmed_by and increments confirm_count), performance characteristics (no LLM call, no write rate limit), and permission model (any authenticated agent that can read the note may confirm it). This is exemplary transparency for a write operation.

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 concise, front-loaded with the primary purpose, and each sentence earned its place. It covers purpose, mechanics, permission, usage, and benefit in just four sentences with no fluff or redundancy.

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?

Given the tool's simplicity (2 params, no nested objects) and the presence of an output schema, the description provides complete context: what it does, how it works, when to use it, and its broader purpose. There are no significant gaps for an agent to select and invoke the tool correctly.

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?

The input schema already provides 100% parameter description coverage, including an example for path and a clear explanation for comment. The tool description does not add additional parameter-level semantics beyond what the schema provides. As per the rubric, baseline 3 is appropriate when schema covers the parameters fully.

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's purpose: 'Endorse a note as correct or useful.' It details the specific action (appends to confirmed_by, increments confirm_count) and distinguishes the tool from siblings by highlighting its lightweight nature and search-signal benefit. This leaves no ambiguity about what the tool does.

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 gives explicit usage conditions: 'Use this when you've independently verified a claim, reproduced a result, or found a note's guidance genuinely useful in practice.' It also notes the tool is lightweight with no write rate limit, implying suitability over heavier alternatives. However, it does not explicitly state when not to use it or name alternative tools, so it stops short of a perfect score.

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