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לצדך: Israeli health insurance, from the policies

List topics: tests, specialists, questions

list_topics
Read-onlyIdempotent

Everything the site answers: tests (keys for test_fast_routes), specialties (keys for specialist_routes), question pages, cover kinds, refund services (keys for refund_estimate), surgeon specialties and regions (for find_surgeon). כל הנושאים: בדיקות, רופאים מומחים, שאלות, סוגי כיסוי.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the tool's non-mutating safety profile is fully covered by structured data. The description adds one genuinely useful behavioral trait — outputs are routing keys/identifiers consumed by other routes rather than free-form data — which clarifies the nature of the return values. No contradiction with annotations; moderate added value.

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

Conciseness3/5

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

The English sentence is compact and front-loaded, packing the topic list and key-routing hints efficiently. However, the trailing Hebrew line ('כל הנושאים: בדיקות, רופאים מומחים, שאלות, סוגי כיסוי') is redundant with the English content and is actually incomplete — it omits refund services, surgeon specialties and regions — adding confusion rather than value. That redundant, slightly inaccurate sentence costs the tool a higher score.

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

Completeness3/5

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

With zero parameters and rich safety annotations, the description covers the main need: what topics exist and which sibling routes consume their keys. But there is no output schema, and the description never states the response shape (e.g. flat list of strings vs key-value pairs, or whether region/cover values come grouped), leaving the agent to guess the return format. Adequate but with a notable gap for a no-schema tool.

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?

The tool takes zero parameters and additionalProperties is false, so there is nothing for the description to document. The 0-param case is the easy baseline of 4, and the description appropriately focuses on what the response contains rather than inputs. No parameter ambiguity exists to resolve.

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

Purpose4/5

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

The description states a clear verb-plus-resource purpose: listing all topics the site answers, enumerating categories (tests, specialties, question pages, cover kinds, refund services, surgeon specialties/regions). It goes beyond the title by mapping each topic to the sibling tool that consumes its keys, distinguishing it from siblings like find_surgeon, refund_estimate and test_fast_routes. It falls short of a 5 because it never explicitly names itself as the enumeration/prerequisite tool.

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

Usage Guidelines3/5

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

Usage guidance is conveyed implicitly through the key-mapping parentheticals — e.g. tests produce keys for test_fast_routes, refund services for refund_estimate — which lets an agent infer 'call this to get valid keys before using those tools'. However, there is no explicit when-to-use/when-not-to-use statement, no mention of alternatives, and no context on which sibling to fall back on. Useful but left to inference.

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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