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Japanese Order Eval

score_order_output

Read-onlyIdempotent

Compare one prediction against a fixed answer. Run after generating your prediction. Does not execute orders.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
outputYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and closed-world, so safety is covered. The description adds one genuinely useful behavioral fact — 'Does not execute orders' — clarifying this is a pure comparison, not an order action. It says nothing about what is compared or returned, so it adds only modest value beyond the annotations.

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?

Three terse sentences: purpose, timing, and a boundary disclaimer, all front-loaded with no filler. Every sentence contributes, though the framing is clipped enough that some needed detail (what 'id' is) was omitted in favor of brevity.

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?

The tool is low-complexity (2 params, no output schema, no nested objects), and annotations cover the safety profile. However, with 0% parameter documentation and no output schema, the description should have clarified the meaning of 'id' and what the comparison yields; that omission keeps it only minimally complete.

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 carries the full burden for two undocumented parameters. 'One prediction ... against a fixed answer' loosely implies the free-form 'output' is the prediction, but the required 'id' parameter is never explained (is it a case id? an eval id?). With zero schema help, this leaves a real gap.

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: 'Compare one prediction against a fixed answer,' which reads as a scoring/evaluation operation. The word 'one' implicitly distinguishes it from the sibling score_order_batch, and 'Does not execute orders' rules out confusion with the get_order_case family. It stops short of naming siblings explicitly, so it is clear but not maximally differentiated.

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

Usage Guidelines4/5

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

Explicitly gives the timing condition: 'Run after generating your prediction.' That is actionable context an agent can use. It does not name when to choose this over score_order_batch, but the 'one prediction' phrasing provides an implicit single-vs-batch signal.

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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