generate_qr
Generate a QR code (SVG) for text or a URL. (utility; $0.002/call in USDC via x402, 50 free/day).
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| ecc | No | ||
| data | Yes |
fetcher
Schema Changelog
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
- First observed
TDQS
A3.6/5.0
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden. It discloses output format (SVG) and cost/daily limits, adding value beyond the schema. However, it omits details on error conditions, authentication, or behavior for different input types beyond 'text or URL'.
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?
The description is extremely concise: one sentence stating purpose and output format, plus a parenthetical note on cost. No extraneous words, well front-loaded.
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?
For a simple tool with 2 parameters and no output schema, the description covers purpose and output format but fails to explain the 'ecc' parameter or provide examples. The cost info is helpful but not essential for tool invocation. General completeness is adequate but has gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate. It explains the 'data' parameter (text or URL) but does not mention the 'ecc' parameter at all. The schema provides an enum but no context, leaving the agent without guidance on error correction level.
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?
The description clearly states the tool generates a QR code in SVG format for text or URLs. The verb 'Generate' and resource 'QR code (SVG)' are specific, and the tool is unique among siblings which focus on web/domain checks.
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?
The description mentions the utility nature and cost (utility; $0.002/call, 50 free/day) but does not provide explicit guidance on when to use versus alternatives. Since siblings are unrelated, usage is implied but not formally stated.
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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TDQS
B3.4/5.0
Disambiguation4/5
Most tools have clearly distinct purposes, but there are overlapping pairs: unfurl_url/get_oembed/find_favicon all provide URL metadata, and render_page/screenshot_page both render a page (render_page can also screenshot). Descriptions help disambiguate, so only minor confusion is likely.
Naming Consistency3/5
Tool names mix verb_noun patterns (check_domain, extract_content) with noun_verb patterns (dns_lookup, ssl_lookup, whois_lookup). Additionally, guard_inspect and guard_tx deviate from the typical verb-first style. The naming is readable but not consistent.
Tool Count3/5
With 19 tools, the server is at the heavier end of the scale. While it covers a broad web-intel toolkit, several tools feel out of place for a 'fetcher' (e.g., generate_qr, guard_tx, guard_inspect), making the set feel bloated and unfocused.
Completeness4/5
The core web-fetching and analysis surface is well covered: DNS, WHOIS, SSL, headers, content extraction, rendering, screenshots, feeds, embeds, redirects, and robots. Missing is a simple raw HTML fetcher, but extract_content and render_page likely cover most needs. The addition of security and utility tools doesn't fill obvious gaps.