AB tock-mcp
Discover restaurants on Tock (exploretock.com) via MCP — list cities, search a metro, and get a venue's details plus its bookable experiences, prices, party sizes, and open dates/times. Triggers on phrases like "search Tock for", "what's on Tock in Chicago", "find a Tock reservation at", "does Alinea have availability on Tock", "what experiences does <venue> offer on Tock", or "my Tock reservations". Requires tock-mcp installed and the fetchproxy browser extension running in a signed-in exploretock.com tab.
Discover restaurants on Tock (exploretock.com) via MCP — list cities, search a metro, and get a venue's details plus its bookable experiences, prices, party…
As a process B 66/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 66/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 6 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 100Steps. 19 steps
- 100When it triggers. States when to use and when not to
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2113 tokens
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +4Description does not say when NOT to use the skill (false activations)
- +1No license
- +2Single-language instructions
- +5Description quotes 6 example trigger phrases
- +3Description length 512: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 19 items
- +3Output format is stated explicitly
- +4Has examples (2 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.