Random source on a random topic
get_random_source_by_topicGet a random source together with the topic it illustrates — handy for a daily inspiration or quiz.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_random_source_by_topicGet a random source together with the topic it illustrates — handy for a daily inspiration or quiz.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already establish read-only, non-destructive, idempotent, and open-world behavior. The description adds the key behavioral detail that the output pairs a random source with its topic, and 'random' signals nondeterministic selection. No contradiction with annotations.
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?
One concise sentence front-loads the core action and result, then adds a single relevant use case. No filler or repeated schema information.
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?
For a zero-parameter read-only tool, the description covers the output composition and a typical use case. It does not specify the exact return shape, but in the absence of an output schema the brief statement is sufficient for an agent to decide to call it.
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?
The tool has zero parameters, so the baseline is 4; there is nothing for the description to clarify about inputs. The schema coverage is effectively 100% and the description correctly omits param details.
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 opens with a specific verb ('Get') and a clear deliverable: a random source paired with the topic it illustrates. This distinguishes it from siblings like get_random_text, though it does not explicitly name the alternative or state the exclusion.
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?
It suggests a context ('handy for a daily inspiration or quiz') but gives no guidance on when not to use it or which sibling to choose instead. Given the ambiguity with get_random_text, the usage guidance is 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.
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