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by io.github.XLSV777
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Read a 7IT Field Kit

get_field_kit
Read-onlyIdempotent

Use this after list_field_kits, to read one checklist in full. Returns one 7IT Field Kit in full: every check with the reason it matters, grouped in order, plus how to use it and the guide it comes from. Pass the slug from list_field_kits or words from the title.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kitYesThe kit slug (for example "webhook-reliability-checklist") or words from its title.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
slugYes
titleYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
+  "$schema": "https://json-schema.org/draft/2020-12/schema",
+  "additionalProperties": {},
+  "properties": {
+    "slug": {
+      "type": "string"
+    },
+    "title": {
+      "type": "string"
+    },
+    "url": {
+      "type": "string"
+    }
+  },
+  "required": [
+    "slug",
+    "title",
+    "url"
+  ],
+  "type": "object"
+}
  2. Changed2 schema fields changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
    • removedInput schema / additionalProperties
      Removed value: -false
  3. First observed

TDQS

A4.5/5.0
Behavior4/5

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), so the bar is lower. The description adds genuinely useful content-level context — that the response includes every check with its rationale, grouped in order, plus usage notes and the source guide. It stops short of noting error behavior for an invalid slug.

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

Conciseness5/5

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

Two sentences, zero waste. The precondition ('after list_field_kits') is front-loaded before the return-shape detail.

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

Completeness5/5

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

Output schema exists, so return values needn't be spelled out, yet the description helpfully summarizes them. For a single-param, read-only lookup, everything needed to call it correctly is present.

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

Parameters3/5

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

Schema description coverage is 100% and the single parameter is fully documented in the schema. The description's 'pass the slug from list_field_kits or words from the title' largely restates the schema's slug-or-title guidance, so it adds little beyond the baseline.

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

Purpose5/5

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

States a specific verb and resource: 'read one checklist in full' returning 'one 7IT Field Kit in full.' This is clearly distinguishable from the sibling list_field_kits, which the description explicitly names as the preceding step.

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

Usage Guidelines5/5

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

Explicitly prescribes the workflow: 'Use this after list_field_kits.' It names the alternative tool and the condition that routes to this one, leaving nothing to inference about when to call it.

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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