PQS scores any prompt before the model runs. 8 dimensions. 5 frameworks. Pre-flight, not post-hoc.
| Endpoint | https://promptqualityscore.com/api/mcp (streamable-http) |
|---|---|
| Registry version | 1.4.0 |
| Now | 2 tools · grade D (53) · pin ts_968902fe4097f1a623dd396c50ba7f77 · protocol 2024-11-05 |
| First / last listed | 2026-11-11 01:29 UTC / 2026-11-11 01:29 UTC |
| Grade over time | 2026-11-11: D (53), 2 tools |
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Tools: score_prompt optimize_prompt
score_prompt | Score a prompt's quality across 8 dimensions BEFORE sending it to an expensive
model. Returns a 0-80 score, an A-F grade, the per-dimension breakdown
(clarity, specificity, context, constraints, output_format, role_definition,
examples, cot_structure), and the weakest dimension.
USE WHEN:
- The user is workshopping a prompt and asks "is this good?" / "will this
work?" / "should I add more detai params: prompt* |
optimize_prompt | Rewrite a prompt to score higher on the PQS rubric, AND show before/after
output comparisons so the user can see the impact. Returns the optimized
prompt, the original PQS score, the optimized PQS score, and side-by-side
sample outputs from a frontier model using both versions.
USE WHEN:
- The user got a low score from score_prompt and asks how to improve.
- The user explicitly asks to "improve" params: prompt*, api_key |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.