List topics
list_topicsList subscription topics.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_topicsList subscription topics.
| 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, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered elsewhere. The description adds nothing beyond the name: no pagination behavior, no result ordering, no note that the list is account-scoped and closed-world.
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 front-loaded sentence with no filler. It is efficiently sized, though efficiency here edges toward under-specification rather than disciplined brevity.
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 and no parameters, the description is the only place to explain what a 'topic' contains and how results are bounded (pagination, ordering, account scope). It leaves those gaps, so an agent can call it correctly but cannot predict the response or distinguish its output from get_contact_topics.
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 there is no parameter semantics to explain; the baseline of 4 applies. Nothing in the description misleads about inputs.
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 states a specific verb (List) and resource (subscription topics), which is enough to separate it from get_topic, create_topic, delete_topic, and update_topic. It stops short of explicitly differentiating from get_contact_topics, which is the closest ambiguous sibling.
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 guidance on when to use this versus get_contact_topics (per-contact topic subscriptions) or list_segments. The 'List' verb implies a collection read, but no conditions, prerequisites, or exclusions are stated.
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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