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List learn topics

list_learn_topics
Read-only

The /learn concept pages: for each exam, its domains and every topic explained there (title, one-line description, page). No sign-in needed.

Input Schema

NameRequiredDescriptionDefault
examIdNoLimit to one exam.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety and scope are covered. The description still adds real value beyond that by disclosing the authentication requirement ('No sign-in needed') and by previewing the returned fields and their granularity (title, one-line description, page), which no structured field provides.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler; the entity hierarchy (exam → domains → topics) and the returned fields are packed in immediately. It is slightly dense and telegraphic, but nothing is wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With zero required parameters, no output schema, and a rich closed-world annotation, the description carries the return-shape burden and does so by naming the fields returned. Minor gaps remain: no indication of response size/volume or ordering across exams.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With one parameter at 100% schema coverage, the baseline is 3: the schema's 'Limit to one exam' already conveys both the filter and the default-all behavior. The phrase 'for each exam' reinforces the unfiltered scope but adds no format or identifier semantics (e.g., where an examId comes from) beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the concrete resource ('the /learn concept pages') and the enumeration shape ('for each exam, its domains and every topic explained there'), which lets an agent tell it apart from the singular get_learn_topic. It stops short of an explicit verb like 'list all', relying on 'for each exam' to imply full enumeration.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied: an agent can infer this is the discovery/browse call that precedes get_learn_topic, but no sibling is named and no when-not-to-use condition is given. The one usage-relevant fact offered is operational ('No sign-in needed') rather than a selection rule.

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

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