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deploy_to_shiped

Deploy HTML/CSS/JS code to Shiped and get an instant public HTTPS URL. Use after generating code with an AI to make it live and shareable.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
htmlNoComplete HTML content (single file deployment)
nameYesProject name — becomes the subdomain
typeNoProject type. Defaults to "static". "node" runs a single index.js file, "python" runs a single main.py file.
filesNoMultiple files for multi-file projects

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does reveal the key traits — the operation creates a live deployment and returns a public URL. But it omits substantial behavioral details for a mutation tool: what happens if the subdomain/name already exists, whether redeployment overwrites an existing project, and the oneOf requirement to pass exactly one of html or files. It also scopes itself to 'HTML/CSS/JS' while the schema supports node and python types.

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?

Two sentences with zero filler: the first states the action and outcome, the second supplies the triggering context. The most decision-relevant fact — instant public HTTPS URL — is front-loaded in the opening clause.

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 schema fully documents all parameters and the oneOf constraint, and the description supplies the headline return value (public URL). However, with no annotations and no output schema, the agent is left without failure-mode information (e.g., name collisions, overwrite behavior) and without awareness that node/python deployments are supported — significant for a tool whose sibling delete_shiped_project implies a lifecycle the description never touches.

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%; every parameter (html, name, type, files) already has a clear description including the subdomain mapping and the static/node/python semantics. The description text itself adds no parameter-level meaning beyond the schema, so the coverage-based baseline of 3 applies.

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 opens with a specific verb and resource — 'Deploy HTML/CSS/JS code to Shiped' — and names a concrete outcome, 'an instant public HTTPS URL.' The deploy verb cleanly differentiates it from the sibling tools delete_shiped_project and list_shiped_projects. The narrowing to HTML/CSS/JS (schema also allows node/python) doesn't obscure the core purpose.

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 second sentence gives explicit context for when this tool is the right choice: 'Use after generating code with an AI to make it live and shareable.' This makes the deploy-vs-manage distinction against the delete/list siblings evident, though it stops short of naming alternatives or stating explicit when-not-to-use conditions.

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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