Methodology
Declarative form quality
ia.webmcp-form-quality · 4.7
Act
SHOULD
Recommendation
AR-ACT-07
Why it matters
High-quality declarative annotations help AI agents understand form purpose, field semantics, and expected input - reducing errors and improving tool invocation accuracy.
How to fix it
Give each WebMCP form a clear tool name, a description and parameter descriptions.
-
Use a snake_case toolname that names the action.
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Add toolparamdescription and a label to each field.
<form toolname="search_products" tooldescription="Search products by keyword and category"> <label for="q">Query</label> <input id="q" name="q" toolparamdescription="Search keywords"> </form>
Verify
Run a new scan for this checkpoint:
isagentready results {domain} --checkpoint ia.webmcp-form-quality
Details Mapping, lifecycle and references
- AR mapping
- Full match
- Evidence source
- agentready.org AR-ACT-07
- Score role
- Informational
- Introduced
- 2026-08-24
- Methodology version
- 2026-10-22