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InvokePort — JSON Repair, Schema Validation & CSV for Agents

Webhook Payload Check

invokeport_webhook_check
Idempotent

Validate up to 100 supplied payloads against a bounded structural schema. Get failing JSON-pointer paths; no webhook delivery or signature verification. Free deterministic computation; no LLM or external fetch. Requires a scoped key allowing webhook-check. Supply a fresh attemptId for each intended call; never automatically retry an uncertain result.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYes
attemptIdYesUnique non-secret invocation ID. Retain on uncertain outcomes; do not invent a new ID to retry.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Adds substantive behavior beyond the annotations: no delivery or signature verification, no LLM or external fetch, deterministic cost-free computation, and an explicit no-auto-retry policy. This complements openWorldHint=false, idempotentHint=true and destructiveHint=false. It does not explain the non-read-only stance (readOnlyHint=false) for what reads as a pure validation call, leaving a mild unexplained tension.

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?

Six short sentences, front-loaded with the action, then scope exclusions, then key requirements. Each sentence carries information; the attemptId sentence is slightly compressed but not wasteful.

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

Completeness4/5

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

With no output schema, the description usefully discloses the return signal (failing JSON-pointer paths) and the no-side-effect boundary. Gaps remain around the accepted schema format and success-case output, but for a 2-parameter tool this is close to complete.

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 coverage is only 50%, and the description adds little about parameter shape: it clarifies the 100-payload cap (already in maxItems) and gives attemptId lifecycle guidance that aligns with the schema note. Critically, 'bounded structural schema' is never explained (which schema dialect/subset is accepted), nor are payload requirements beyond the count.

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 and resource: 'Validate up to 100 supplied payloads against a bounded structural schema', plus the concrete output ('failing JSON-pointer paths'). It also draws scope boundaries ('no webhook delivery or signature verification'), but never names or contrasts with the closely related sibling invokeport_json_schema, leaving sibling differentiation to inference.

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

Usage Guidelines3/5

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

It gives operating guidance for the attemptId ('supply a fresh attemptId for each intended call; never automatically retry an uncertain result') and implies use when you only want structural validation, not delivery. However, it never states when to pick this over invokeport_json_schema or the other JSON siblings, so alternative-selection is left implicit.

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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