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

Annotations already cover read-only, open-world, idempotent, and non-destructive behavior. The description adds that no auth is required and provides the data source URL, but does not mention potential pagination, result limits, or response size. Given the strong annotation coverage, the added behavioral context is modest but non-contradictory.

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?

Three succinct sentences front-load the purpose, then cover return fields and usage context, and finish with source URL and auth note. No filler; every sentence earns its place.

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?

The description covers what the tool does, how to filter, what it returns, the data source, and authentication requirements. The only notable gap is not pointing to paleoclimate.study.detail for full study details, but the output schema likely documents the return structure, so overall completeness is good.

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%: locations, dataTypeId, and searchText all have descriptive text, and dataTypeId includes enumerated known values. The description merely paraphrases these filters ('free text, continent/region, and/or record type') and adds no new semantics beyond the schema, so the baseline score 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 clearly identifies 'Search NOAA NCEI Paleoclimatology studies' with specific filter dimensions (free text, continent/region, record type) and enumerates the returned fields (study ID, name, DOI, investigators, year range, site locations). It does not explicitly name the sibling detail tool, so differentiation relies on the tool name and the summary-level return fields, which is nearly sufficient but not fully explicit.

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 provides clear usage context: 'useful for finding historical climate reconstructions and proxy records' and explains the filter combinations. However, it does not explicitly state when to prefer this over paleoclimate.study.detail or what this tool cannot do (e.g., full study data retrieval).

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