List Followed Topics
list_followed_topicsList topics the signed-in user follows.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_followed_topicsList topics the signed-in user follows.
| 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 declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description's only added behavior is the implicit user-scoping ('signed-in user'), which is useful but minimal; it says nothing about result ordering, pagination, or volume.
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?
A single eight-word sentence, front-loaded with the verb and resource. Nothing extraneous.
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 list tool with annotations covering safety, the description is adequate but thin: with no output schema, an agent gets no signal about what a returned 'topic' looks like or whether results are paginated. A brief note on return shape or ordering would close the gap.
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 takes zero parameters, so the baseline is 4. There is nothing for the description to disambiguate at the parameter level, and it correctly implies no filtering options exist.
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?
States a specific verb (List) and resource (topics), with a useful scoping qualifier: 'the signed-in user follows.' This distinguishes it from sibling find_topics_to_follow (discovery) and follow_topic/unfollow_topic (mutation), though it doesn't name those siblings directly.
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 when-to-use guidance, no exclusions, and no pointer to related siblings like get_followed_topic_updates or find_topics_to_follow. An agent must infer from the name alone that this is the read side of the follow lifecycle.
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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