list_editionsList every stored edition with public metadata, free/paid status, exact prices, and the URLs that can unlock paid content.
| 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 declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context about the returned fields, including exact prices and URLs for unlocking paid content. However, it does not disclose response shape, pagination, ordering, or whether every edition is returned in one call.
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?
The description is a single, front-loaded sentence that states the action and the key output fields with no filler. Every clause adds information relevant to invoking the tool correctly.
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 list tool, the description is largely complete: it names the resource and the returned data categories. It lacks explicit output formatting or pagination details, and there is no output schema to compensate, which keeps it from a 5.
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 and schema description coverage is 100%, so there are no parameter semantics to explain. The baseline for no-parameter tools is 4, and the description does not mislead or add unnecessary parameter-related noise.
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 uses a specific verb and resource: 'List every stored edition' and enumerates the included fields (public metadata, free/paid status, prices, unlock URLs). It is clear that this is an enumeration tool rather than a single-edition reader, though it does not explicitly name sibling alternatives. The title's 'Probable editions' phrase is slightly ambiguous and is not mirrored in the description.
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 guidance is provided about when to use this tool versus siblings such as read_latest_edition, read_edition_by_date, or export_edition. The description implies a listing use case but gives no exclusions, prerequisites, or alternative routing.
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.
The watch and edition tools are clearly distinct, but get_context and score_headline overlap heavily—both accept a headline, share the referenceContext parameter, and disclose withheld/conflicting info—and get_brief vs read_latest_edition both serve 'what's the latest news' requests. The verbose 'do not use for' guardrails in the descriptions help, but they also signal that the boundaries are not naturally obvious.
All names follow snake_case verb_noun, with predictable patterns: list_* for collections, create/update/acknowledge for watch mutations, read_* for editions. Minor inconsistency exists between get_brief and read_latest_edition (both fetch news content) and between get_membership and list_watches (both return list-like info), but the overall scheme is readable and consistent.
14 tools sits within the typical well-scoped band, and each tool appears to serve a real product feature. The surface is slightly broad for a 'news' server, spanning saved-watch management, edition reading/export, headline analysis, and membership/checkout, which makes it heavier than a focused news reader.
Edition access (list/read/export) and the analysis workflow (score/context/discover) are well covered, but the watch lifecycle has no delete_watch, leaving agents unable to remove saved watches—a real dead end. There is also no story-level read or search tool, though the descriptions explicitly scope that out.