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

Annotations already establish readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds real context beyond that: the four freshness states are defined with precise thresholds (fresh = within cadence, due = within 1.5 cadences, stale = later, unavailable = no answer), plus cost ('free', 'Price: free'), refresh cadence (daily), and an output size estimate (~2,500 tokens).

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 opens by repeating the title word-for-word and then repeats itself internally: 'Free' and 'Price: free' say the same thing, and '/status' appears three times across two adjacent sentences. The one genuinely useful addition, the freshness-state definitions, is buried mid-paragraph rather than front-loaded.

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 no output schema, the description carries the burden of describing returns and does so thoroughly by listing each reported field and defining the freshness vocabulary. The aggregate confidence rule ('lowest current confidence among the datasets listed, 0 when one is unavailable') is somewhat dense but present, leaving little an agent needs missing for a zero-required-parameter read-only tool.

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% and the single 'view' enum is fully documented in the schema, including the summary/full distinction. The description repeats that distinction ('view: "full" for every row', 'about 2,500 tokens') without adding syntax or behavior the schema lacks, so the baseline of 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?

The description states a specific resource and scope: freshness of every Distill dataset, enumerating the exact fields returned (as_of, last check, cadence, next expected update, confidence, lateness). It is distinguishable from the sibling tools, which are concrete data lookups rather than a freshness/status report, though it does not name them explicitly and largely restates the title verbatim.

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 rather than stated: 'Read from live answers' explains the mechanism, and 'it does not check any single answer' delimits scope. The mention of /status (HTML) and /status.json gives alternative access channels but no explicit guidance on when an agent should call this versus those or versus a sibling data tool.

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