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order_analytics_package

Order what the estimate promised after reviewing it: library tools that fit, a bespoke build, or both, computed on the whole dataset; one reviewed page delivered. Credits per tool run; failed runs never billed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bespokeNo
tool_namesNo
estimate_idYes
layout_objectiveNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.8/5.0
Behavior3/5

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

The description usefully discloses billing behavior: 'Credits per tool run; failed runs never billed.' It also implies this is a non-read-only ordering action, consistent with readOnlyHint=false. However, it does not disclose side effects, delivery mechanics, or how an existing order/package is affected.

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

Conciseness3/5

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

The description is short at two sentences and starts with the main verb 'Order,' but the wording is convoluted ('Order what the estimate promised after reviewing it') and the final clause 'one reviewed page delivered' feels disconnected. It is compact but not maximally clear.

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

Completeness2/5

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

With no output schema and four parameters, the description should clarify what the agent receives after ordering, how layout_objective is used, and the relationship to estimate_id. It mentions billing and a delivered page but omits return behavior and key parameter semantics, so the tool remains incompletely specified.

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?

Schema description coverage is 0%, so the description must compensate, but it only loosely maps to parameters: 'library tools' hints at tool_names and 'bespoke build' hints at bespoke. estimate_id and layout_objective are not explained, leaving a required parameter and a core layout option underspecified.

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 names a specific verb ('Order') and a resource ('what the estimate promised'), and clarifies the deliverable: library tools, a bespoke build, or both. It is distinguishable from siblings like request_estimate and review_estimate by placing the action after review, though it is somewhat cryptic.

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?

The phrase 'after reviewing it' gives a rough temporal condition, but there is no explicit guidance on when to use this tool versus alternatives like rerun_package, adjust_estimate, or review_estimate. No when-not-to-use conditions or alternative tool names are provided.

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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