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MarkAC007

mcp-server-scf

by MarkAC007

scf_get_recipe_generation_status

Retrieve the status of a queued AI recipe-generation job for a system. Poll this after submitting a generation request to track progress or completion.

Instructions

Get the status of a queued AI recipe-generation job for a system. Poll this after scf_generate_system_recipes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
org_idYesOrganization UUID — obtain from scf_list_organizations
system_idYesSystem UUID — obtain from scf_list_systems
Behavior3/5

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

No annotations provided, so description bears full burden. Indicates it's a poll operation and mentions queued jobs, but lacks details on response format, status values, polling interval, or idempotency. Adequate but not thorough.

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, no filler. The essential purpose and usage instruction are front-loaded and efficient.

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?

Given no output schema and no annotations, the description should provide more about what status information is returned (e.g., progress, error messages). This is a significant gap for a polling tool.

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 coverage is 100% with descriptions that already explain how to obtain org_id and system_id. Description adds no further parameter context beyond the schema, so baseline of 3 is appropriate.

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?

Clearly states the verb 'Get' and the resource 'status of a queued AI recipe-generation job for a system'. The sibling tool scf_generate_system_recipes is directly referenced, establishing a clear distinction.

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?

Explicitly instructs to poll this after scf_generate_system_recipes, providing clear usage context. Does not specify when not to use or alternatives, but the context is sufficient.

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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