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run_demo

Execute one fixed SYNTHETIC example using the real engine; consumes shared quota. Temporary space is deleted before returning. No custom input or human data. Do not blindly retry failures.

Input Schema

NameRequiredDescriptionDefault
exampleNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare non-read-only, non-idempotent, non-destructive behavior; the description adds quota consumption (a shared-cost warning), the fact that temporary space is deleted before returning, and an explicit anti-retry instruction that corroborates the non-idempotent hint. That is genuine value beyond structured fields, though it still doesn't say where the result lands after the temp space is wiped.

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?

Four short clauses, each carrying distinct information (synthetic scope, quota, cleanup, retry policy), with the most important constraint front-loaded. Slightly telegraphic, and the trailing retry warning could be integrated more smoothly, but there is no wasted text.

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?

With no output schema and no annotation coverage of side effects, the description does well on cost and cleanup but never resolves the central ambiguity: temp space is deleted on return, so the agent is not told how or when to retrieve results (presumably read_demo_result). Enum semantics are also unexplained.

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 0% for the single 'example' parameter, so the description is the only place that could explain what 'fdq-frontier' or 'fdq-selector' mean, and it offers nothing beyond 'one fixed SYNTHETIC example.' Enum value names are only partly self-explanatory, so this is adequate but leaves a real documentation hole.

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: 'Execute one fixed SYNTHETIC example using the real engine.' The adjective 'fixed' plus 'SYNTHETIC' carves out a distinct niche (no custom inputs), but no sibling is named, so the agent must guess how this relates to read_demo_result.

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?

'No custom input or human data' and 'Do not blindly retry failures' give real when-not guidance. However, the obvious pairing with the sibling read_demo_result is never mentioned, and the description never says when to pick one of the four examples over another, leaving usage largely implied.

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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