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

The annotations already declare read-only, idempotent, and non-destructive behavior, so the description's extra context about ledger contents and argument ordering adds genuine value. It does not contradict any annotation and discloses the ordering behavior, which is not present in the structured fields.

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 is a single, tightly packed sentence with no filler. The key alias relationship is front-loaded, followed immediately by the return contents and ordering constraint.

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 one-parameter, read-only alias with an output schema and comprehensive annotations, the description fully covers what an agent needs to select and invoke the tool. It names the sibling it duplicates and summarizes the returned structure without needing to restate schema details.

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?

The input schema provides 100% coverage for the single arxiv_id parameter, including accepted forms such as bare IDs, URLs, DOIs, and Pith Numbers. The description adds no parameter-specific meaning, so the baseline of 3 is appropriate.

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 specifies exactly what the tool returns: the claim ledger for a paper, including premises, machinery, and falsifier, in argument order. It also clarifies its relationship to analyze_paper_claims by naming it as an alias, which prevents confusion with the many sibling 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?

By explicitly labeling itself an alias of analyze_paper_claims, the description tells the agent that this tool is interchangeable with that sibling. It does not provide explicit when-not-to-use conditions, but the alias relationship gives clear contextual guidance for selecting it.

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