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camelot_shipment_vendor_log

Idempotent

Track vendor shipments, delivery timelines, lead times, and inventory receipts using a local browser-based log.

Instructions

Shipment & Vendor Log: Track vendor shipments, delivery timelines, lead times, and inventory receipts.. Local browser processing. Canonical URL: https://www.camelotwebtools.com/tools/shipment-vendor-log

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
shipmentsNoArray of vendor shipment records and delivery statuses

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYesExecution status of the tool (success or error)
prefillUrlYesDirect deep-link URL to view, edit, and export in Camelot Web Tools
canonicalUrlYesCanonical web URL for this tool on camelotwebtools.com
documentTitleYesTitle of the generated document, report, or calculation output
documentMarkdownYesComplete structured output and body formatted in clean Markdown

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already signal idempotent, non-destructive behavior; the description adds 'Local browser processing' and a canonical URL, which is useful context about where and how processing occurs. It does not disclose what the tool does with the provided shipments, whether anything is persisted, or what the output represents, so disclosure remains thin.

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?

The description is brief and front-loaded with the purpose, followed by a useful local-processing note and canonical URL. Minor punctuation error ('receipts..') does not meaningfully hurt readability.

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 single-parameter tool with an output schema and safety annotations, the description is mostly adequate. It is incomplete in that it never states the tool's operation on the input, lacks usage exclusions, and does not indicate whether the log is persisted or just returned, leaving some context gaps.

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 parameter descriptions fully explain the shipments array and its fields. The description adds no additional meaning beyond the schema, so it earns the baseline 3 rather than more.

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?

The description identifies a concrete domain and resource — tracking vendor shipments, delivery timelines, lead times, and inventory receipts — which separates it from shipping-label and customs siblings. It lacks an explicit statement of the action performed on the shipments array, so it stops short of a fully specified verb+resource definition.

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?

The intended use is implied by 'Track vendor shipments, delivery timelines, lead times, and inventory receipts,' so an agent can infer when to invoke it. However, it does not state when to avoid it or name alternatives among the sibling tools, leaving the routing decision to inference.

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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