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demos.get

Read-only

Return one showcase run contract (install, command, needs, framing). Does NOT execute the demo or control a PC. Call after demos.list when you know the demo_id. If the client can run shell, offer the command; if chat-only, show the card. Do not replace this with a slow MCP click loop for solver demos.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNoResponse format: markdown (default) or json
demo_idYesShowcase id from demos.list

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYesFalse when the tool failed
messageYesHuman-readable result for the agent

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, and the description reinforces that this tool does NOT execute demos or control a PC. It adds behavioral context about the return type (contract) and usage, but does not describe all behaviors like error handling or rate limits.

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

Conciseness5/5

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

The description is extremely concise with four focused sentences. Each sentence adds unique value: purpose, negation of execution, usage guidance, and a warning. No unnecessary words.

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?

For a simple read-only tool with 2 parameters and presence of an output schema, the description covers the core purpose, usage order, and output interpretation. It lacks explicit error handling or edge cases, but the output schema likely fills remaining gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema description coverage is 100%, so baseline is 3. The description adds value by contextualizing the demo_id parameter as coming from demos.list, and implicitly linking format to user interaction style (shell vs chat-only). This goes beyond just repeating schema info.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb 'Return' and clearly identifies the resource as 'showcase run contract' with details (install, command, needs, framing). It explicitly distinguishes itself by stating what it does NOT do (execute or control a PC), ensuring no confusion with sibling tools.

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?

The description provides clear guidance on when to call this tool ('after demos.list when you know the demo_id') and how to use its output (offer command if shell, show card if chat-only). It also warns against misuse, but does not explicitly list alternative tools for different scenarios.

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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TDQS

A4.6/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: session management, input methods, screen observation, demo retrieval, and rig listing. Descriptions explicitly state when to prefer one over another (e.g., click_target over click_xy, send_actions over chaining). No two tools overlap in functionality.

Naming Consistency5/5

All tools follow the domain.verb_noun pattern (e.g., app.launch, input.click_target, session.start) with consistent snake_case. Verbs like launch, list, get, click, send, type, observe are clear actions, and the naming is predictable across the entire set.

Tool Count5/5

16 tools cover the full spectrum of remote desktop control: 2 for demos, 1 for rigs, 4 for sessions, 1 for screen, 7 for input, and 1 for app launching. Each tool is necessary and there is no redundancy; the count is well-scoped for the domain.

Completeness5/5

The tool set provides a complete lifecycle for remote desktop interaction: rig selection, session start/end, screen observation, all common input actions (click, type, scroll, drag, multi-step sequences), app launching, and demo retrieval. There are no obvious gaps for typical UI automation tasks.