session.init_artifacts

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

No annotations are provided, so the description carries the burden. It mentions loading into a new session but is ambiguous about whether an existing session (via session_id) is reused. Side effects like overwriting data are not addressed.

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 brief with two focused sentences, no unnecessary words. It is front-loaded with the primary action. However, it could include brief mentions of all parameters without much bloat.

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?

Given the tool has 4 parameters, no output schema, and no annotations, the description is insufficient. It does not explain return values, side effects, or the role of data_dir and session_id. This leaves significant gaps for an initialization 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 description coverage is 0%. The description explains two parameters (disease_context, phenotype_keywords) but omits data_dir and session_id, leaving their purpose unclear. This fails to fully compensate for the missing schema descriptions.

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 loads canonical inputs (GEM, PPI, regmap, CRISPR, comparators) with provenance tags into a new session. It specifies the exact resources and action, distinguishing it from sibling tools that perform analysis or visualization.

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 implies use case: initializing a session with canonical inputs for downstream processes. Optional parameters set disease context and phenotype keywords. However, it does not explicitly state when not to use or provide alternatives.

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