list_subscriptionsList the caller's active subscriptions. Returns id, type, params, created_at, last_fired_at, fire_count for each. Use this to review what you're monitoring before adding more or to find an id to cancel.
| Name | Required | Description | Default |
|---|---|---|---|
| include_inactive | No | Include cancelled subscriptions in the response (default false). |
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, idempotentHint, and destructiveHint false. The description adds useful context by specifying the return fields (id, type, params, created_at, last_fired_at, fire_count) and the caller-scoped nature ('caller's active subscriptions'). No contradiction.
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 primary purpose, and efficiently combines return value details with usage guidance. No wasted 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?
For a simple read-only list tool with a single optional parameter, the description covers purpose, return fields, and usage context. It is complete enough for an agent to select and 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 only parameter, include_inactive, is fully described in the schema with 100% coverage. The description does not add extra meaning beyond what the schema provides, so a baseline of 3 is appropriate.
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 the tool's function with a specific verb and resource: 'List the caller's active subscriptions.' It enumerates return fields and distinguishes itself from sibling tools like subscribe/unsubscribe by focusing on read-only listing.
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 explicit usage scenarios: 'Use this to review what you're monitoring before adding more or to find an id to cancel.' This implicitly references subscribe and unsubscribe as alternatives, though it doesn't name them or provide exclusions.
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, well-described purposes, but clusters like ask_pipeworx/ask_pipeworx_beta/ask_pipeworx_grounded and the five polymarket_* tools have overlapping scopes that could cause misselection. The beta currently behaves identically to the stable router, and `recent` vs `recent_changes` vs `recent_alerts` are confusingly similar names for different domains.
All names use lowercase underscores, but there is no consistent verb_noun pattern: some are verbs (ask, compare, generate), some are nouns (entity_profile, recent, user), and some are adjectives (deep_research). There are coherent subfamilies (subscribe/unsubscribe/list_subscriptions, remember/recall/forget), but the overall naming is a mix of conventions.
33 tools is well above the 25+ threshold, making the surface heavy and hard to navigate. Many are highly specialized meta-tools (e.g., five Polymarket analyzers) that could be consolidated.
For a server named 'Codestats', only `recent` and `user` address coding stats, leaving major gaps in what that name implies. The broader data/research/betting capabilities are fairly rich, but the server's stated identity is under-served and there's no clear lifecycle coverage for any single domain.