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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), and the description adds meaningfully on top: results come back as links and the tools run in the browser with no signup required. That no-auth, in-browser behavior is useful context an agent would not get from the annotations, and there is no output schema to supply it.

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 sentences, no filler; the purpose leads and the return/behavior note follows. The long category enumeration in the first sentence is slightly keyword-dump-like but does real work by signaling search breadth, so it mostly earns its place.

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, fully annotated read tool with no output schema, the description covers purpose, result form, and no-signup behavior. It leaves a gap on how this search relates to the sibling action tools (generate/calculate), which an agent needs in order to place it correctly in a workflow.

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 description coverage is 100%, with both `query` (including examples) and `limit` (default 5, max 10) fully documented in the schema. The description's list of task categories loosely enriches what a valid query looks like, but adds no format, ranking, or result-count guidance beyond the schema, so baseline 3 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?

States a concrete verb + resource: 'Find the free Pro UPI QR tool for a task', and lists the task domains (invoices, receipts, GST/MSME tools, UPI QR posters) that the catalog covers. It is distinguishable from the calculator/generator siblings, though the opening 'Find the free Pro UPI QR tool' is slightly narrower-sounding than the broad catalog it actually searches.

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 task list implies when to reach for it (discovering a tool for a producing/task need), but there is no explicit when-not or routing guidance. An agent could plausibly call generate_upi_qr_code or calculate_gst directly instead, and the description never says whether this tool is a discovery step that precedes those, which leaves real ambiguity.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.