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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the tool's safety profile. The description adds no contradictions. It provides a bit of extra behavior: the tool not only gives the falsifier but also 'how many people are watching for that result.' This is useful contextual information beyond the annotations, though it doesn't go deep into side effects (which are minimal given the hints).

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, well-structured paragraph that front-loads the core output (falsifier and watcher count) and then gives clear usage guidance. Every sentence adds value: the first defines the purpose, the second specifies when to use it. No fluff or redundancy.

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 single-parameter read-only tool with a rich output schema and annotations covering safety, the description is complete. It clarifies the tool's focus (core claim), the type of result (observation/experiment/computation), and includes the watcher count. There's no missing information an agent would need to select and invoke this 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%: the parameter 'arxiv_id' is fully documented in the schema, covering all accepted input forms. The description does not introduce new parameter details, which is fine given the schema's completeness. It mentions 'one specific paper's core claim' but that's about the tool's behavior, not the parameter. Baseline 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 clearly states the tool's purpose: to retrieve the falsifier (test, observation, or computation) for a specific paper's core claim, along with the count of watchers. It uses specific verbs and resources, and it is distinct from sibling tools like 'get_falsifier' (likely broader) and 'get_claims' (lists claims). The description explains the exact scope and what it returns.

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?

The description gives explicit when-to-use guidance: when the user asks what would falsify the paper, prove it wrong, test its central claim, settle the claim, or show that the conclusion fails. This clearly routes an agent away from siblings like 'get_claims' or 'analyze_paper_claims'. It does not state when not to use it, but the list of user intents is specific and sufficiently differentiating.

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