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

Annotations already establish read-only, idempotent, non-destructive behavior. The description adds value by disclosing that lists may be capped and that totals are included so a capped list is not mistaken for the whole paper, and by noting that full-text records include conditions, measurements, results, and limitations.

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?

A single dense, front-loaded sentence that opens with the core object ('One paper's compiled record') before enumerating contents. There is no filler, tautology, or redundant restatement of the schema.

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 read-only annotations and a full output schema, the description covers the packet's composition, the abstract-only vs full-text distinction, and the capping/totals behavior. This is sufficient 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?

Schema description coverage is 100%; both arxiv_id and limit have explicit descriptions, so the description adds little parameter-level detail. The mention of capped lists and totals loosely relates to the limit parameter but does not expand on schema semantics.

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 title provides a specific verb ('Read') and resource ('one paper's record packet'), and the description enumerates a distinctive set of contents: main claim, abstract sentence roles, paper-level labels, and full-text metrics. This clearly distinguishes it from sibling search, citation, and review tools.

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?

There is no explicit when-to-use or when-not-to-use guidance, and no sibling alternatives are named. The phrase 'small enough to hold beside others' implies a comparison/compaction use case, but the agent must infer when to choose this over get_record, resolve_paper, or search_papers.

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