Get paper metrics

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety and idempotency profile is covered. The description adds the metric categories a caller receives, but says nothing about rate limits, partial-failure behavior for invalid bibcodes, or cost of the open-world call.

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?

Two sentences, front-loaded with the purpose and followed by the metric contents; no filler or repetition. It is slightly short on routing information rather than verbose.

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 does list the returned metric categories, which partially compensates. But it omits key details for a batch metrics call — behavior on unknown bibcodes, response shape per paper, and how to choose this over get_paper_details — leaving a small but real gap.

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 bibcodes parameter already carries a format example and minItems=1. The description's 'specific papers' only loosely restates the bibcode-list input without adding batching or format constraints beyond the schema, 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?

States a specific verb and resource ('Get detailed metrics for specific papers') and enumerates what is returned: citation count, reads, impact indicators. However, it never distinguishes itself from the close sibling get_paper_details or get_author_metrics, so an agent must infer the boundary from the name alone.

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?

'Useful for tracking paper impact over time' implies a use case but names no alternative tools and gives no condition for choosing metrics over details. Usage is only implied, not directed.

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