get_study_credible_sets

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

The readOnlyHint annotation declares the safe read operation, but the description adds no additional behavioral context beyond its purpose. It does not mention pagination parameters, field selection, or any quirks. The description simply restates the tool's purpose without enriching the annotation.

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 sentence that immediately conveys the core function. There is no redundancy or filler, and it is front-loaded with the key action and object.

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 output schema covers return values, and the annotation covers read-only safety. However, the description lacks usage differentiation and parameter semantics. Given the large sibling set, the tool is not fully contextualized, though the basic purpose is clear.

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?

Input schema coverage is 0%, and the description does not compensate. It only implies the study_id parameter via 'for a study', but provides no meaning for 'fields', 'page_size', or 'page_index'. The parameter names are self-descriptive, but the description adds no explicit guidance.

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 function with a specific verb ('Retrieve') and resource ('credible sets') scoped to a study. It distinguishes from siblings like get_variant_credible_sets (variant-scoped) and get_credible_sets (generic list) by explicitly mentioning 'for a study'.

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 provided on when to use this tool versus alternatives. With several sibling tools for credible sets (e.g., get_credible_sets, get_variant_credible_sets), the absence of any use-case differentiation is a significant gap.

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