unsubscribeCancel a subscription by id. Ownership is enforced — you can only cancel your own subscriptions. The row is deactivated (not deleted) so its historical events stay available via recent_alerts.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Subscription id (uuid) returned by subscribe. |
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?
Adds significant behavioral context beyond annotations: describes deactivation (not deletion) and that historical events remain via recent_alerts. Ownership enforcement is also disclosed. 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?
Three sentences, each providing distinct value: action, ownership constraint, and side effect. No unnecessary words.
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?
Given only one parameter and no output schema, the description covers purpose, usage constraint, and behavioral effect. Complete enough for the tool's simplicity.
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?
Schema coverage is 100% for the single parameter. Description adds relational context ('returned by subscribe'), which helps the agent understand the expected value format.
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 clearly states 'Cancel a subscription by id', a specific verb and resource, which distinguishes it from siblings like 'subscribe' and 'list_subscriptions'.
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?
Explicitly mentions ownership enforcement ('you can only cancel your own subscriptions'), providing clear context on when to use; however, it does not explicitly state when not to use or mention alternatives.
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.
Several tools overlap heavily: ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, and deep_research all answer natural-language data questions, and ask_pipeworx_beta is explicitly identical to ask_pipeworx right now. The current_time* variants and multiple Polymarket scanners also create real selection ambiguity, though the memory and subscription tools are clearly distinct.
Names are mostly lowercase snake_case and readable, but there is no consistent verb_noun pattern: some are imperative (ask_pipeworx, compare_entities, generate_llms_txt) while others are object-first (entity_profile, recent_changes, pipeworx_trending). Subfamilies like current_time* and polymarket_* are internally consistent, but the overall set follows no predictable convention.
Forty tools is far too many for a server named Timeapi Io; only about nine tools actually relate to time zones and current time. The rest form a sprawling Pipeworx research, prediction-market, memory, and subscription platform, making this a mega-bundle rather than a well-scoped toolset.
The time-related surface covers current time, zone conversion, zone metadata, and ISO parsing, but lacks common date math or general formatting operations. The Pipeworx side is quite complete for research and fact-checking, but the mixed domain makes coverage uneven and hard to reason about as a single coherent service.