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veilform

veilform

by asteby
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

Validate a blind_input schema

blind_input_preview
Read-only

Validate a schema and optional sink, returning a structural summary and local preview URL with a disabled form mock-up; no values are handled.

Instructions

Validates a schema (and optional sink) and returns a structural summary plus a local preview URL with a disabled mock-up of the form. No values involved.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "schema": "<schema>"
    },
    "name": "blind_input_preview"
  }
}

Input Schema

NameRequiredDescriptionDefault
sinkNo
titleNo
schemaYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior4/5

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

readOnlyHint=true already establishes the safety profile, but the description adds real context beyond it: the tool performs validation only, no input values are collected or sent, and the mock-up form is explicitly disabled. It does not describe failure behavior (what a structural summary contains when validation fails), which keeps it below a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two lean sentences with the verb front-loaded and no padding; both sentences carry information. Slightly terse for the depth of what is being validated, but nothing is wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with a 3-param, deeply nested schema and no output schema, the description does explain the return shape at a high level (summary + preview URL), which is the key missing piece without an output schema. However it says nothing about validation semantics, error reporting, or the sink configuration space, leaving the agent under-informed for a complex input.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% top-level schema description coverage, the description must carry the load but only mentions 'a schema (and optional sink)' — two of three parameters, omitting title entirely. It gives no guidance on the sink variants (store/http/sql/file/systemd/github/clipboard/ops-dataload/callback) that dominate the nested schema, so the parameter meaning gap remains large.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('Validates a schema') and the concrete artifacts returned ('structural summary plus a local preview URL with a disabled mock-up of the form'). It never names the sibling blind_input, so an agent must infer that this is the safe preview counterpart rather than the real submission tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use statement, no prerequisites, and no routing against siblings such as blind_input or secret_write. The phrase 'No values involved' hints that this is a non-committal dry-run, but the agent is left to infer that it should be called before creating an actual form.

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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