get_study_case_spec

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does disclose payload content ('including chat and scoring constraints'), but says nothing about pagination semantics of the implied paging, ordering, whether a missing case errors or returns empty, or size limits on the response.

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?

It is a single front-loaded sentence with no wasted words, but the brevity comes at the cost of ambiguity rather than through disciplined editing. 'Page' as a leading verb is the main source of confusion.

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?

An output schema exists, so return-shape explanation is not required, but with no annotations and zero parameter description coverage the definition is too thin for a four-parameter paged retrieval tool. At minimum the paging contract and the relationship between study_id and case_id should be stated.

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% across four parameters, so the description must compensate and does not. 'Page' weakly implies that limit/offset exist, but neither parameter's units or defaults are explained, and the roles of study_id and case_id are left entirely to the schema titles.

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 names a resource (development case JSON) and hints at a verb with 'Page', but 'Page complete development case JSON' is ambiguous about whether it returns one case or a page of cases. It also gives no differentiation from the very similar sibling get_study_case_messages or get_study_cases.

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?

There is no statement of when to use this tool versus alternatives such as get_study_case_messages (which presumably returns the chat instead) or get_study_cases. The agent must infer selection purely from the tool name and the phrase 'including chat and scoring constraints'.

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