update_study_details

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

With no annotations, the description bears full responsibility for disclosing behavior. It only says 'update' without explaining whether it is a partial update, what happens to other study fields, or any permission requirements. The output schema exists but is not referenced, adding no behavioral context.

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 compact and well-organized: a single purpose sentence followed by a clean argument list. Every line earns its place, and the arg list is essential given the schema's lack of descriptions. No waste 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?

The tool is simple, but the description only covers purpose and parameters. It lacks usage guidelines (vs siblings) and behavioral transparency (e.g., partial update semantics). The output schema may cover return values, but the description does not stand alone well for all decision needs, so it is minimally complete.

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%, but the description compensates fully by providing clear, explicit explanations for all four parameters: study_id, objective, user_details, and product_overview. This leaves no ambiguity about parameter meaning.

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 updates study details and lists specific fields (objective, user details, product overview). It is distinguishable from siblings like update_study_name and update_study_status by the field list, but does not explicitly differentiate, so it stops short of a 5.

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?

No guidance is given on when to use this tool versus alternatives. The sibling list includes update_study_name and update_study_status, but the description lacks any mention of when to choose this tool or how it differs, leaving the agent without selection criteria.

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