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?
The description goes beyond annotations by disclosing that the row is deactivated, not deleted, and that historical events remain available via recent_alerts. This adds meaningful behavioral context beyond the idempotentHint and destructiveHint 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?
The description is two sentences, front-loaded with the core action, and every sentence contributes useful information without redundancy or filler.
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 simple tool with one required parameter and no output schema, the description fully covers the action, ownership constraint, deactivation behavior, and historical availability. It gives an agent sufficient information to invoke the tool correctly.
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 schema fully describes the single parameter 'id' as a uuid returned by subscribe, so schema coverage is 100% and the baseline is 3. The description adds ownership context but no additional parameter-specific format or syntax 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?
The description clearly states 'Cancel a subscription by id' with a specific verb and resource, and it is distinct from sibling tools like subscribe and list_subscriptions. The ownership enforcement detail further clarifies the scope.
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?
The description provides clear context: use this to cancel your own subscription, with ownership enforced. It also references recent_alerts for historical events, implying alternative context. However, it does not explicitly name alternative tools like list_subscriptions, so it lacks explicit when-not-to-use guidance.
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 detailed descriptions and distinct purposes, but there is overlap among the question-answering tools (ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, deep_research) and among the six Polymarket-related tools. An agent could reasonably misselect when choosing between the pipeworx variants or between entity_profile and recent_changes.
Tool names consistently use snake_case and most follow a verb_noun or noun pattern, with clear domain prefixes like pipeworx_ and polymarket_. Minor deviations include single-word verbs (search, subscribe) and adjective_noun names (recent_alerts, deep_research), but the overall pattern is predictable.
With 37 tools, the server is well beyond the 25+ threshold, and the bulk of them are unrelated to the 'Datagov Au' name. The actual data.gov.au catalogue is served by just six tools (search, package, resource, organizations, groups, tags), while the rest are Pipeworx, Polymarket, memory, subscription, and utility tools — a grossly bloated and miscategorized surface.
For a server named Datagov Au, the CKAN tools only cover read-only catalogue lookups; there are no tools for data.gov.au-specific updates, queries, or subscriptions. Conversely, the Pipeworx router exposes access to 5,502 internal tools, but many of those are not directly callable as MCP tools, leaving a confusing gap where discover_tools returns tools the agent cannot actually invoke.