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

No annotations are supplied, so the description carries the full burden. It discloses the credit cost ('Free · 1 credit') and that results are outbound edges of a specific node, but says nothing about pagination, ordering, what happens if the paper is not in the library, or the shape of returned nodes.

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 front-loaded sentence plus a compact cost tag; no filler. The parenthetical type list is slightly noisy but earns its place by hinting at the claim_type domain.

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 simple two-parameter read tool with no output schema, the description covers scope, source node, and cost adequately. The main residual gap is the filtering behavior of claim_type and the return shape, which are minor for a read-only listing tool.

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 0%, so the description must compensate. It clarifies that paper_id is a Paper kg_node id and its enumeration of claim types hints at valid claim_type values, but it never states that claim_type acts as a filter or whether it is optional, leaving the second parameter's semantics ambiguous.

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: return claim-type kg_nodes outbound from a Paper kg_node id, and enumerates the claim subtypes (PerformanceClaim, LimitationClaim, ComparisonClaim). This clearly separates it from siblings like paper_results or paper_references, though the 'kg_nodes' jargon assumes familiarity with the graph model.

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?

'Your personal library' implies the tool is scoped to papers already in the user's library, which is a useful usage constraint. However, it never states when to prefer this over siblings such as library_node_context or library_search_nodes, nor any prerequisites or exclusions.

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