Skip to main content
Glama

deploy_pod

Deploy source files to a pod: create it if missing, upload files, install dependencies, restart the app, and provide a public HTTPS URL via Cloudflare tunnel once it responds.

Instructions

Deploy files to a pod. Creates the pod if it doesn't exist, uploads the given files, installs dependencies, (re)starts the app, opens a public HTTPS URL via a Cloudflare quick tunnel, and checks it answers. This is the main tool — one call to go from source files to a live URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
filesYes
presetNoRequired the first time a pod is created; inferred from the existing pod on redeploys.
Behavior5/5

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

With no annotations, the description carries the full burden of behavioral disclosure, and it does so thoroughly. It lays out side effects and conditions: pod creation if missing, file upload, dependency installation, app restart, public URL exposure via Cloudflare, and a health check. That goes far beyond the schema and annotations.

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 three sentences with no filler. It front-loads the core action and then adds only necessary workflow details, making it easy for an agent to parse quickly.

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 complex side-effecting tool with no annotations and no output schema, the description covers the key behavioral sequence and outcome well. It does not explicitly state what the tool returns (e.g., the generated URL) or call out that preset is required on first creation, but those are relatively minor gaps given the strong overall coverage.

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 only 33%, so the description needs to compensate. It gives meaningful context for 'files' by describing upload and dependency installation, and the deploy narrative implies what 'name' is for. However, it does not explicitly define 'name' as the pod identifier or describe how 'preset' affects runtime, leaving those partially under-specified.

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+resource ('Deploy files to a pod') and then enumerates the full lifecycle: create pod, upload files, install dependencies, restart app, open HTTPS URL, verify. This clearly tells an agent what the tool does and distinguishes it from narrower siblings like create_pod or manage_pod.

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?

It explicitly frames itself as 'the main tool — one call to go from source files to a live URL,' which gives strong guidance that this is the primary deployment entry point. It does not explicitly say when to prefer create_pod or manage_pod instead, so there are no explicit exclusions, but the context is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/CodesbyFebin/instaserver'

If you have feedback or need assistance with the MCP directory API, please join our Discord server