qr_code
QR code image URL for any text or link. (cost: 1 credit)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| size | No | number 64-1024 | |
| text | No | string, required |
QR code image URL for any text or link. (cost: 1 credit)
| Name | Required | Description | Default |
|---|---|---|---|
| size | No | number 64-1024 | |
| text | No | string, required |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries the full burden. It usefully discloses the cost ('1 credit') and implies the return is a URL rather than image bytes, but says nothing about format, expiry, auth, rate limits, or whether the URL is hotlinkable.
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?
Two short clauses, front-loaded with the core purpose; nothing is redundant. It is arguably too terse rather than padded, so it does not lose points for wasted wording.
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 two-parameter generator with no output schema, the description covers the essentials — what it produces and what it costs. It leaves gaps on the response shape (URL string vs. redirect), size defaults, and any failure modes, which are modest but real for an agent invoking it blind.
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?
Schema coverage is 100%, so both parameters are already documented in structured data. The description adds only a weak hint that 'text' may contain a link; it says nothing about valid size ranges or defaults, which the schema does cover, so baseline 3 is appropriate.
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 names the resource it produces ('QR code image URL') and the accepted input class ('any text or link'), which is enough to distinguish it from the unrelated siblings (hash_text, ical_event, rdap_lookup). The verb is implicit — 'generate/encode' is never stated — so it is clear but not maximally precise.
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?
There is no guidance on when to use this versus anything else, no note on whether it renders or merely returns a URL, and no prerequisites. The only contextual signal is the credit cost, which speaks to budgeting rather than tool selection.
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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