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Glama

generate

Turns a plain-English description into a complete, tested FastMCP 3.x server with project plan, validation, and test results, removing manual protocol boilerplate.

Instructions

Generate a complete FastMCP 3.x server from a plain-English description.

Returns a dict with keys: path, plan (dict), valid (bool), tests_run (int).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNoclaude-sonnet-4-6
strictNo
dry_runNo
languageNopython
providerNoanthropic
templateNo
transportNostreamable-http
multi_fileNo
no_executeNo
descriptionYes
output_pathNo
auth_profileNonone
from_openapiNo
middleware_profilesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.4

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are present, so the description carries the full burden of behavioral disclosure. It does reveal the return dict keys, which is helpful, but it fails to state side effects such as writing files, executing code, or running tests, despite the schema strongly suggesting these behaviors exist.

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 compact and front-loaded: the first sentence states the core purpose, and the second gives the return shape. There is no filler or redundant phrasing, so every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 14 parameters, no annotations, and a sibling family that supports a broader workflow, this description is incomplete. It does not mention how generation relates to plan or validate, does not explain the safety/execution implications, and leaves optional configurations undocumented.

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 must compensate for 14 parameters, but it only clarifies the required description parameter by calling it 'plain-English description'. All other parameters—strict, dry_run, transport, multi_file, output_path, auth_profile, etc.—are left entirely unexplained.

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?

States a specific action ('Generate') and a concrete resource ('a complete FastMCP 3.x server') from a well-defined input ('a plain-English description'). This clearly differentiates it from siblings like validate, update, and inspect, which all imply different operations.

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

Usage Guidelines2/5

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

The description implies the tool is used when you have a plain-English description and want a generated server, but it gives no explicit when-to-use instructions or comparisons to alternatives. It does not mention plan, validate, inspect, or update, nor does it explain when to use dry_run, no_execute, or template modes.

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