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esimoa — travel eSIM comparison

by com.esimoa
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Search esimoa eSIMs

search
Read-onlyIdempotent

Free-text search of esimoa (이심모아) eSIM plans in the search/fetch format used by ChatGPT deep research, e.g. "Japan 7 days unlimited" or "USA 3 days local phone number". Understands unlimited, daily, local phone number, local network, hotspot and 5G. Returns ids to use with fetch. When you can fill filters, prefer search_esims.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
+  "properties": {
+    "results": {
+      "items": {
+        "properties": {
+          "id": {
+            "type": "string"
+          },
+          "title": {
+            "type": "string"
+          },
+          "url": {
+            "type": "string"
+          }
+        },
+        "required": [
+          "id",
+          "title",
+          "url"
+        ],
+        "type": "object"
+      },
+      "type": "array"
+    }
+  },
+  "required": [
+    "results"
+  ],
+  "type": "object"
+}
  2. First observed

TDQS

A4.6/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnly, idempotent, non-destructive, closed-world behavior, so the safety profile is covered. The description adds genuine behavioral value beyond that: which query concepts are understood (unlimited, daily, local phone number, hotspot, 5G) and that results feed 'fetch'. It does not discuss result count, ranking, or empty-result behavior, keeping it short of a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three tight sentences, front-loaded with the core verb and resource, then examples, then the downstream routing rule. No filler or restatement of the title.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return-value detail is not required, and the description still usefully notes it returns ids for fetch. For a one-parameter search tool this is essentially complete; the ambiguity of 'search/fetch format' is the only minor gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% for the single 'query' parameter, so the description must carry the burden, and it does: it explains the accepted format ('search/fetch format used by ChatGPT deep research') and supplies two concrete example queries plus the vocabulary the parser understands. Slightly short of 5 only because no syntax constraints or limits are given.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Free-text search of esimoa eSIM plans') and immediately scopes it against the sibling search_esims by describing its free-text/keyword nature. An agent can distinguish it from search_esims, compare_esims, fetch, and get_esim without opening any schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly gives the routing rule: 'When you can fill filters, prefer search_esims.' It also names the downstream tool ('Returns ids to use with fetch'), covering both when to pick this tool and what to do with its output.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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