study_help

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world behavior, so the safety profile is covered structurally. The description does add one useful behavioral fact beyond annotations — that it functions in hosts without skills, resources or prompts — but says nothing about output shape, exhaustiveness, or whether guidance is static or context-dependent.

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?

Two compact sentences with the topic scope front-loaded and no filler. The style is fragmentary rather than prose, but every clause carries information and nothing is repeated from structured fields.

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?

With no output schema, the description should tell an agent what a help invocation yields, and it does not (guidance text? structured steps? per-topic content?). Combined with zero schema coverage on both parameters, the definition is minimal-but-usable rather than 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%, so the description must carry parameter meaning. It partially does: "student workflow", "client setup", "language" and "capability" plausibly map to the student/hosts/languages/capabilities enum values. The locale parameter is left entirely unexplained, and the enum-to-phrase mapping is loose enough that an agent must guess which topic selects which 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 names the guidance areas (student workflow, client setup, language, capabilities) but offers no verb and no statement of what the tool actually returns, so the purpose is inferred rather than stated. It is distinguishable from action-oriented siblings like study_task_create or study_read_file only by implication (a help/guidance tool), not by explicit differentiation.

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?

"On-demand" and "Works in MCP hosts without skills, resources or prompts" imply the context of use (call it when self-service guidance is needed in a host lacking skills/prompts), which is real guidance. However, it never states when to prefer this over siblings, nor any when-not condition, so the guidance stays implied rather than explicit.

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