get_direction_papers

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

Annotations already declare readOnly/idempotent, and the description adds valuable behavioral detail: payload shapes, size implications, and what the compact view discards (raw blob, cluster internals). This goes beyond 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 concise, front-loaded with a clear opening sentence, and uses bulleted view details. No redundant text.

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 read-only paginated fetch with an output schema, the description covers the two views and their tradeoffs, and mentions pagination. Minor gaps: no explicit discussion of default page/limit behavior, but those are in the schema.

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?

With 0% schema description coverage, the description explains the view parameter in depth but leaves cluster_id_or_url, page, and limit to their schema names. The required parameter's semantics are implied by the tool name but not elaborated.

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 fetches paginated papers for a Lacuna research direction/cluster, using a specific verb and resource. It distinguishes from siblings like get_paper (single paper) and get_author_papers (author-specific papers).

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?

Provides clear context for the view parameter, recommending compact by default and reserving full for raw metadata needs. It does not explicitly name alternative tools, but the purpose is unambiguous enough for an agent to infer when to use it.

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