Fonts
get_fonts_jsonLists arabic fonts available Billing per call: 1 Credits.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_fonts_jsonLists arabic fonts available Billing per call: 1 Credits.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 must disclose behaviors. It adds billing information ('Billing per call: 1 Credits'), which is useful, but it does not state whether the operation is read-only (implied by 'Lists') or any other side effects. The billing detail provides some transparency beyond the schema, but other behavioral context is missing.
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-loads the purpose, but it contains a grammatical error (missing period/space between 'available' and 'Billing'). It is concise with no redundant words; the billing note is extra but relevant. The minor formatting issue prevents a perfect score.
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 list tool with no parameters and no output schema, the description covers the essential purpose and adds billing context. It does not detail return format (though the name implies JSON) or any limitations, but given the low complexity, it is reasonably complete.
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, and the input schema is empty. Per calibration, a zero-parameter tool receives a baseline of 4. The description adds no parameter documentation because there are none to explain, so the baseline applies.
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's verb ('Lists') and resource ('arabic fonts'), making its purpose unambiguous. It distinguishes itself from siblings (get_editions_json, get_info_json) by specifying the domain as fonts, which is a concrete and distinct resource.
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?
The description implies when to use the tool (when needing Arabic fonts), but it does not explicitly mention alternatives or when not to use it. Since the tool list is limited, the purpose alone guides selection, but no explicit usage context or exclusions are provided.
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.