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=true, idempotentHint=true, destructiveHint=false. Description adds return fields and parameter purpose, but no new behavioral details beyond annotations. 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?
Two sentences, no wasted words. Purpose front-loaded, then fields, then usage guidance. Highly efficient.
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?
With full annotations and schema, the description provides return field details and usage guidance, covering the tool's purpose adequately. Could mention pagination limits, but not required for core function.
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 provides 100% coverage with clear parameter description. The description adds value by explaining the context for using the parameter (review before adding, get ID for cancel).
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 'List the caller's active subscriptions' with specific fields returned. It distinguishes from sibling tools like subscribe/unsubscribe by focusing on 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?
Explicitly says 'Use this to review what you're monitoring before adding more or to find an id to cancel.' Provides clear context for when to use, though no explicit when-not-to-use.
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.
Many tools have overlapping purposes, such as ask_pipeworx, ask_pipeworx_grounded, and deep_research all answering questions, and bet_research overlapping with polymarket_edges/arbitrage. The diverse tool set lacks clear boundaries.
All names use snake_case, but verb patterns are inconsistent: some start with verbs (ask_pipeworx, remember) while others start with nouns (polymarket_arbitrage, entity_profile). Names vary widely in length and descriptiveness.
33 tools is excessive for a server named 'Omdb', which implies a movie database. Most tools are unrelated to movies, indicating poor scoping for the server's purpose.
For the OMDb domain, only search and retrieval tools exist, with no create/update/delete operations. Overall, the tool set feels like a random collection with significant gaps relative to any coherent domain.