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Read Autocomplete File

sdnext_autocomplete_content

Retrieve the contents of a local autocomplete or tag-list file to access predefined tags and prompts for consistent image generation.

Instructions

Get the content of a local autocomplete/tag-list file (GET /sdapi/v1/autocomplete/{name}).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesAutocomplete file name (from sdnext_autocomplete).
Behavior3/5

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

With no annotations provided, the description carries full burden. It tells the agent this returns file content via GET, which is adequate for a trivial read operation, but it doesn't disclose error behavior (missing file, permission issues) or whether the returned content is raw text vs. parsed structure. Adequate, not rich.

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 tightly packed elements — a plain-language statement and the canonical endpoint — with zero wasted words. Including the GET path is genuinely useful for API-originated tools.

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?

For a single-parameter read operation, the description plus a 100%-covered schema covers most needs. However, with no output schema and no mention of return format, the agent cannot predict how to parse the result (list of strings? JSON?). Complete for the input side, lacking on the output side.

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% — the single 'name' parameter is documented with cross-reference to sdnext_autocomplete as its source. The description adds marginal value via the URL template showing {name} as a path segment, but this is baseline behavior for the dimension's rubric.

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?

Clear verb+resource construction: 'get the content' of a 'local autocomplete/tag-list file'. The endpoint path disambiguates the operation, and the qualifier 'local' distinguishes it from siblings like sdnext_autocomplete_remote. The title and name align cleanly with the described behavior.

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

Usage Guidelines3/5

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

The word 'local' implies a contrast with remote alternatives (sdnext_autocomplete_remote), and the read-only nature is clear, but no explicit when/when-not scenarios or alternative tools are named. Guidance is only implied context, not stated exclusions.

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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