List active subscriptions
list_subscriptionsReturn the listener feed(s) this agent has minted on the human's behalf.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_subscriptionsReturn the listener feed(s) this agent has minted on the human's behalf.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already provide readOnlyHint, idempotentHint, destructiveHint. Description adds context that subscriptions are minted on behalf of the human, clarifying scope.
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?
Single sentence of 15 words, front-loaded with action and object, no extraneous 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?
Description fully covers all necessary information for a zero-parameter, read-only tool with no output schema.
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?
No parameters; schema coverage is 100% (trivial). Description explains purpose without needing parameter 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?
Description clearly states it returns listener feeds minted on the human's behalf. Verb 'return' and object 'listener feed(s)' are specific. No sibling with similar purpose.
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 explicit when/when-not guidance. However, the tool is self-explanatory and siblings do not overlap significantly.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools have distinct purposes, but there is overlap between `get_my_private_feed`, `subscribe_topic`, and `list_subscriptions`—all return or manage feed URLs, which could confuse an agent. Otherwise, categories like publisher, fund manager, and search tools are clearly separated.
All tools use consistent snake_case with a verb_noun pattern (e.g., `get_article`, `search_articles`, `publisher_upload_audio`). Exceptions like `digest` are single-word verbs but still fit the pattern. No mixed conventions are present.
With 37 tools, the server exceeds the 25-tool threshold considered 'too many' by the rubric. While the broad scope (news, podcasting, publishing, fund management, embedding) justifies a large surface, the count still adds cognitive load and would benefit from splitting into separate servers.
The tool set covers the major domains: search, retrieval, subscriptions, publishing, fund manager operations, and embedder network. Minor gaps exist, such as the absence of an unsubscribe or delete-episode tool, but the core workflows are well-supported and agents can accomplish most tasks.