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

It adds real context beyond the annotations: no points are spent, no URL is accepted, and supplying fields triggers a privacy_consent_required state until the controller accepts the current privacy version. The consent warning is valuable but confusingly worded and may mislead an agent about whether optional filters are usable at all. No contradiction with readOnlyHint/openWorldHint.

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 core purpose is front-loaded, which is good, but the last third about privacy consent is unclear and reads as tangential boilerplate. Several sentences could be tightened without losing meaning.

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 simple read-only lookup with no output schema, the description covers cost and access constraints, but it leaves the two parameters unexplained and doesn't say what a record contains or how filtering behaves. The privacy-consent caveat is raised without clarifying what 'fields' means here.

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 0%, so the description must carry the burden for the two optional parameters. It never mentions 'year' or 'category' or explains the enum codes (che, phy, med, lit, pea, eco), leaving the agent to infer both meaning and whether they act as filters.

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 opens with a specific verb and resource: 'Read one Nobel Prize record from the official Nobel Prize API v2.1.' It also distinguishes itself from sibling hub_* tools by calling itself 'the open-data group's runnable lookup' while 'the other open-data rows stay in the directory.' The phrasing is somewhat awkward but the agent can tell what it 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?

It implies when to use it ('runnable lookup' vs. directory rows) and states a negative constraint ('does not accept a URL'). However, it never names a concrete alternative or says when NOT to use it, and the 'open-data rows stay in the directory' phrasing is ambiguous relative to dozens of sibling hub_* tools.

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