Info
get_info_jsonGet all the details about quran such as number of juzs,sajdas, rukus etc in quran Billing per call: 1 Credits.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_info_jsonGet all the details about quran such as number of juzs,sajdas, rukus etc in quran Billing per call: 1 Credits.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden. It discloses 'Billing per call: 1 Credits', which is useful cost context, but it does not mention anything about read-only behavior, response format, or potential limitations. 'Get' implies a read operation, but this is not explicit.
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 short and front-loaded with the main purpose, followed by the billing note. However, it is a single run-on sentence with missing spaces after commas, which slightly harms readability but does not waste 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 zero-parameter info tool, the description sufficiently explains what details are provided (juzs, sajdas, rukus, etc.) and mentions cost, which covers the essential context. No output schema exists, so it could benefit from noting the return format, but this is not critical for such a simple tool.
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 tool has zero parameters, so the baseline is 4. The description correctly adds no parameter information because none exist.
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 uses a specific verb ('Get') and resource ('quran') and lists concrete examples ('number of juzs, sajdas, rukus'), clearly distinguishing it from sibling tools like get_editions_json and get_fonts_json.
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?
It implies usage when the user needs Quran structural details, but it does not explicitly state when to use this over alternatives or provide any exclusion criteria. The siblings are different resource types, but no direct comparison is made.
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 clearly distinct purpose: listing editions, listing fonts, and fetching general Quran info. No overlap in functionality, so an agent can unambiguously select the right tool.
All tools follow the pattern of get_<resource>_json, which is consistent. The resources (editions, fonts, info) are not verbs, but the pattern is predictable and clear. Minor deviation is the use of 'info' which is slightly vague, but overall consistent.
With only 3 tools, the server feels thin for a domain like the Quran, which typically includes text retrieval, translations, audio, etc. However, the tools cover the basic metadata and list endpoints, so it is borderline but not severely under-scoped.
The tools only provide metadata lists and general info impossible to fetch actual Quran text, translations, or recitations. This leaves a significant gap for agents expecting to retrieve verses or chapters, likely causing failures on core use cases.