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tobee89

mcp-paperless-ngx

Search everything

global_search
Read-onlyIdempotent

Search across all object types in one query to find documents, tags, correspondents, and more when the type is unknown. Returns up to three hits per type; for document-specific searches, use the dedicated search_documents tool.

Instructions

Search across every object type at once — documents, tags, correspondents, document types, storage paths, saved views, users, groups, mail rules, custom fields and workflows. Returns at most three hits per type, so use it to locate things by name when you do not yet know which kind of object you are looking for. For document searches, search_documents is better.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch term, at least 3 characters.
db_onlyNoRestrict document matching to titles instead of the full-text index.

Schema Changelog

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

  1. First observedv0.1.1

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already mark it read-only, idempotent, and non-destructive, so the description's job is lighter. It adds a meaningful behavioral cap ('Returns at most three hits per type') and the cross-type scope, which is useful beyond 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?

Three sentences, front-loaded with the core action, and no filler. The long list of object types is necessary for scope, and the final sentence earns its place as a routing cue.

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

Completeness5/5

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

Given the annotations already cover the safety profile and the schema covers all parameters, the description supplies the key behavioral context: breadth, per-type results cap, and the preferred alternative for document searches. No output schema exists, but the return behavior described is sufficient to select and invoke the 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 description coverage is 100%, so the schema already documents both query and db_only. The description does not add parameter-level detail beyond the schema, which puts it at the baseline for covered schemas.

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 names a specific action ('Search across every object type at once') and lists the covered object types in detail. It also positions itself relative to search_documents, so an agent can understand its purpose among the large sibling set.

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

Usage Guidelines5/5

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

It gives a clear when-to-use condition ('when you do not yet know which kind of object you are looking for') and an explicit exclusion ('For document searches, search_documents is better').

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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