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tobee89

mcp-paperless-ngx

Autocomplete a search term

search_autocomplete
Read-onlyIdempotent

Complete partial search terms with ranked suggestions from the full-text index, helping you find documents even when spelling differs from archive entries.

Instructions

Completions for a partial search term, ranked by importance in the full-text index. Helpful when the user's spelling of a name or term may not match what is in the archive.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
termYes
limitNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.1

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already establish read-only, idempotent, non-destructive behavior, and the description adds that results are ranked by full-text index importance and that partial terms are accepted. No safety-relevant behavior is hidden, and there is no contradiction with the 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?

Two focused sentences front-load the core behavior and then add the practical use case. No filler or repetition.

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 simple two-parameter read-only autocomplete tool, the description is nearly sufficient: it explains the term, the ranking, and when to use it. It could be more complete with an explicit statement about the returned completion list format, but that is not required to invoke it correctly.

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?

The description clarifies that 'term' is a partial search term, which adds meaning beyond the bare schema. However, with no schema-level descriptions and no mention of what 'limit' controls, it only partially compensates for the 0% schema description coverage.

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 states a specific operation: returning completions for a partial search term, ranked by importance in the full-text index. This distinguishes it from the document-returning search tools among its siblings without needing to open schemas.

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 description gives a clear context for use: when the user's spelling may not match archive terms. It does not name alternative tools or state when not to use it, so it stops short of a full when/when-not guide.

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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