Recommend an eSIM plan
recommend_planRecommend the best plan(s) for a trip given its length and data usage.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| usage | Yes | ||
| locale | No | en | |
| tripDays | Yes | ||
| destination | Yes |
recommend_planRecommend the best plan(s) for a trip given its length and data usage.
| Name | Required | Description | Default |
|---|---|---|---|
| usage | Yes | ||
| locale | No | en | |
| tripDays | Yes | ||
| destination | Yes |
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?
With no annotations, the description carries full burden. It does not disclose what 'best' means, side effects, auth needs, or error handling. The lack of behavioral context is significant.
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?
Single sentence, 13 words, front-loaded with action. Every word earns its place; no fluff.
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?
Despite having 4 parameters and no output schema or annotations, the description is too brief. It fails to explain return values, error conditions, or the recommendation logic. Missing mention of destination is a notable gap.
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 has 0% description coverage. The description only mentions tripDays and usage, ignoring the required destination and optional locale. It adds partial meaning but misses critical parameter semantics.
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 recommends plans based on trip length and data usage, and distinguishes it from siblings like search_plans by focusing on 'best' plans. However, it omits the required destination parameter, reducing clarity slightly.
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 on when to use this tool versus alternatives like search_plans or get_plan. No exclusions or usage context provided; the description only states what it does.
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.
Each tool has a clear primary purpose, but check_coverage and get_destination_info both provide coverage-related information, and recommend_plan/search_plans can overlap in plan selection. Descriptions are detailed enough to guide an agent, though a few boundary cases remain.
All tool names follow a consistent verb_noun pattern: check_, create_, get_, list_, recommend_, search_. The verbs are distinct and the nouns clearly identify the resource being acted on.
Seven tools is well-scoped for an eSIM connectivity server, covering coverage, destination info, plan discovery, recommendation, and checkout without unnecessary duplication.
The tool set covers coverage checks, destination details, plan search/retrieval, recommendations, and checkout handoff. Minor gaps exist around top-up actions and post-purchase order management, but the core connectivity workflow is well covered.